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Anthropic released on Jun 30, 2026 API access

Claude Sonnet 5

Claude Sonnet 5 shipped on Jun 30, 2026 at a launch price of US$ 2 per million input tokens and US$ 10 per million output, which became its permanent price in August. In Anthropic's figures, it came close to Opus 4.8 at less than half the price per token. It is now legacy: Sonnet 5.5, from Sep 28, 2026, costs the same and beats it on all eight tests in the launch table, but requires code changes. Sonnet 5 will not be retired before Jun 30, 2027.

#24 of 267 in the ECI ranking
156.36 ECI, the Epoch AI capability index
1,491 Arena ELO, human preference · #36
76.0 LiveBench, overall average from 0 to 100 · #26
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Spec sheet

Claude Sonnet 5 in official numbers

Data published by the maker in its documentation and announcement. The source of each item is at the end of the page.

Maker
Anthropic
API identifier
claude-sonnet-5
Release
Jun 30, 2026
Status
legacy; the documentation says to migrate to Sonnet 5.5
Input
US$ 2 per million tokens (same as Sonnet 5.5)
Output
US$ 10 per million tokens
Cache read
US$ 0.20 per million (10% of input)
Cache write
US$ 2.50 (5 minutes) or US$ 4 (1 hour)
Batch API
US$ 1 input and US$ 5 output
Fast mode
not available
Context window
1 million tokens, no surcharge
Max output
128 thousand tokens (300 thousand in batch, beta)
Reliable knowledge
through January 2026
Reasoning
adaptive, on by default; turns off with disabled at any effort level
Default effort
high on the API and in Claude Code
Cache minimum
1,024 tokens (512 on Sonnet 5.5)
Where it runs
Anthropic API, Amazon Bedrock, Google Cloud, Microsoft Foundry and Claude Platform on AWS
Capacity
does not support Priority Tier
Retirement
not before Jun 30, 2027
Analysis

Where Claude Sonnet 5 does well, where it falls behind and who it is for

Where it does well

  • Office work: 1,618 on GDPval-AA v2, a statistical tie with Opus 4.8 (1,615), which cost US$ 5 and US$ 25.
  • Terminal coding: 80.4% on Terminal-Bench 2.1, against 67.0% for Sonnet 4.6 and 82.7% for Opus 4.8.
  • Price: US$ 2 and US$ 10, below Sonnet 4.6's US$ 3 and US$ 15, with cache reads at US$ 0.20.
  • Flexible on the API: it turns thinking off at any effort level and accepts forced tool use and the old computer use tool. Sonnet 5.5 rejects all three.
  • Agent safety: per the system card, it resists prompt injection better than Sonnet 4.6 and hallucinates and flatters far less.

Where it falls behind

  • Against its successor: 10.3% on Terminal-Bench 4.0, against 70.6% for Sonnet 5.5, which costs the same.
  • Cost per task: on CursorBench 4.0, its best is 34.1% for US$ 7.17 per task; Sonnet 5.5 at low effort scores 35.8% for US$ 0.50.
  • Automation: 13.5% on AutomationBench, below Gemini 3.5 Flash's 14.5% in its own system card.
  • Features left behind: caching only from 1,024 tokens, no Priority Tier, no task budgets and no mid-conversation system messages.
  • Over-refusal: in Claude Code cybersecurity tests, it refuses malicious requests more reliably than Sonnet 4.6, but also refuses more legitimate ones.

Who it makes sense for

  • Code that turns thinking off, forces a tool or uses computer_20251124 and has not been updated yet: all of that returns an error on Sonnet 5.5.
  • Fallback model: it is where Sonnet 5.5 sends the higher-risk cybersecurity requests it refuses, billed at Sonnet 5 rates.
  • Structured extraction with a tuned prompt: according to Anthropic, it reads prompts literally.
  • Transition period: at the same price, you can run Sonnet 5 and Sonnet 5.5 side by side until at least Jun 30, 2027.

When to pick another model

  • New projects: Sonnet 5.5 costs the same, wins all eight tests in the launch table and generates output more than 30% faster, according to Anthropic.
  • Tasks that need recent knowledge: its reliable cutoff is January 2026; Sonnet 5.5's is June 2026.
  • Classifying and summarizing at maximum volume: Haiku 4.5 costs half, US$ 1 and US$ 5.
  • Advisor for a Sonnet 5.5 executor in the advisor tool: the request returns an error.

What Anthropic published at launch

Sonnet 5 arrived on Jun 30, 2026 as the most agentic Sonnet up to then, able to plan and use a browser and a terminal on its own. It became the default model on the Free and Pro plans.

In the announcement table, Opus 4.8 appears only for reference and leads five of the six rows; on GDPval-AA v2 the two tie (1,618 against 1,615). The GPT-5.5 column comes from the system card.

Sonnet 5 in the figures Anthropic published at launch
Sonnet 5
Anthropic
Sonnet 4.6
Anthropic
Opus 4.8
Anthropic
GPT-5.5
OpenAI
SWE-bench Pro
coding
63.2%58.1%69.2%58.6%
Terminal-Bench 2.1
terminal coding
80.4%67.0%82.7%83.4%
Humanity's Last Exam
without tools
43.2%34.6%49.8%41.4%
Humanity's Last Exam
with tools
57.4%46.8%57.9%52.2%
OSWorld-Verified
computer use
81.2%78.5%83.4%78.7%
GDPval-AA v2
office work, Elo
1,6181,3951,6151,509
FrontierCode v1
coding
38.8%15.1%not published25.5%

Sonnet 5, Sonnet 4.6 and Opus 4.8: table from the Claude Sonnet 5 announcement. GPT-5.5 and FrontierCode: table 8.1.A of the system card (max effort, averaged over 5 trials). The dot marks the best in each row. GPT-5.5 on Terminal-Bench 2.1 was measured with the Codex CLI.

The launch price that stuck

Sonnet 5 debuted at an introductory price of US$ 2 and US$ 10 per million tokens, valid through Aug 31, 2026. From Sep 1, 2026, the planned price was US$ 3 and US$ 15, the same as Sonnet 4.6. On Aug 10, 2026, Anthropic dropped the increase and made the introductory price permanent.

Two details for the bill. The cost charts in the announcement still use US$ 3 and US$ 15, so the real cost is lower than they show. And the new tokenizer turns the same text into 1.0 to 1.35 times as many tokens as on Sonnet 4.6: the price per token fell, but the cost per text falls less.

Sonnet 5 against the current lineup, price per million tokens
Sonnet 5
legacy
Sonnet 5.5
current
Opus 5.5
current
Haiku 4.5
current
Input US$ 2US$ 2US$ 4US$ 1
Output US$ 10US$ 10US$ 20US$ 5
Cache read US$ 0.20US$ 0.20US$ 0.20US$ 0.10
Cache write
5 minutes
US$ 2.50US$ 2.50US$ 5US$ 1.25
Batch
input and output
US$ 1 and US$ 5US$ 1 and US$ 5US$ 2 and US$ 10US$ 0.50 and US$ 2.50
Reliable knowledge Jan 2026Jun 2026Jun 2026Feb 2025
Retirement
not before
Jun 30, 2027Sep 28, 2027Sep 22, 2027Oct 15, 2026

Anthropic documentation: pricing, model pages and model deprecations, checked on Oct 1, 2026.

Is Claude Sonnet 5 still worth using in 2026?

As your main model, no. Sonnet 5.5 shipped 90 days later at the same price and beats it on all eight tests in the launch table, some by a wide margin: on Terminal-Bench 4.0, 70.6% against 10.3%; on GDPval-AA v2.1, 1,844 against 1,449. Anthropic also says 5.5 generates output more than 30% faster and costs up to 30% less per task.

On CursorBench 4.0, Sonnet 5.5 at low effort scores 35.8% for US$ 0.50 per task, above Sonnet 5's best, 34.1% for US$ 7.17 at max. With the same price per token, the savings come from spending fewer tokens.

What keeps Sonnet 5 around is code, with five changes that return errors, and its new role as Sonnet 5.5's fallback model for cybersecurity refusals. It stays available until at least Jun 30, 2027 on Anthropic's platforms; Amazon Bedrock and Google Cloud set their own dates.

Sonnet 5 against its successor, in Anthropic's figures
Sonnet 5
legacy
Sonnet 5.5
current
Opus 5.5
current
Terminal-Bench 4.0
long terminal work
10.3%70.6%66.4%
FrontierCode 1.1
coding
42.4%52.1%54.4%
CursorBench 4.0
coding
34.1%55.5%57.8%
GDPval-AA v2.1
office work, Elo
1,4491,8441,846
AA-Briefcase v1.1
long office work, Elo
1,3591,8111,822
Humanity's Last Exam
with tools
54.9%64.5%67.7%
OSWorld 2.1
computer use, partial
57.0%80.1%81.8%
Chartography
chart reading, without tools
15.6%61.6%64.4%

Figures from the Claude Sonnet 5.5 announcement. The dot marks the best in each row. On FrontierCode, Sonnet 5.5 scored 52.1% at xhigh and 46.2% at max; we show the higher one.

What breaks when you migrate to Sonnet 5.5

Swapping the identifier is not enough. Anthropic's release notes list five ways code written for Sonnet 5 breaks on 5.5:

  • Thinking turned off: disabled returns a 400 error. The minimum is now between_tools, accepted up to high effort.
  • Forced tool use: tool_choice with any or tool returns a 400 error. Use auto with the tool in strict mode.
  • Edited history: on accounts created on or after Aug 31, 2026, replaying a thinking block after editing the conversation history returns a 400 error.
  • Computer use: on the Anthropic API and Google Cloud, only computer_toolset_20260801; computer_20251124 returns an error.
  • Advisor tool: Sonnet 5 is no longer accepted as the advisor for a Sonnet 5.5 executor.
  • No error, but an effect: text between tool calls arrives in thinking blocks, empty by default, and effort was recalibrated.
In practice

Examples of using Claude Sonnet 5

A fallback for cybersecurity refusals

A security tool runs on Sonnet 5.5 with fallbacks in default mode. When the classifier blocks a cybersecurity request, the API reruns it on Sonnet 5, and the response names the model that served it. That is why Sonnet 5 can show up on the bill even after migrating.

Extraction without thinking

A pipeline reads invoices and returns fields through forced tool use, with thinking turned off to stay fast. On Sonnet 5, it works. On Sonnet 5.5, replace disabled with between_tools and forced tool use with auto in strict mode, and say in the prompt when to call the tool.

A side-by-side switch at the same price

Run ten real tasks on Sonnet 5 and Sonnet 5.5, both at the API default effort, high, and compare accuracy and cost per task. With the same price per token, any difference on the bill comes only from the tokens spent.

What the tests say

Where Claude Sonnet 5 stands out and where it falls behind, by the numbers

Claude Sonnet 5 has published results on 26 tests compiled by Epoch AI. The yardstick here is its generation: its position among the models released between Oct 3, 2025 and Sep 28, 2026 that took the same test. Against the whole archive, which includes 2023 models, a recent release lands near the top of almost everything, and that says nothing.

Where it stands out

Tests where it sits in the top third of its own generation.

ProofBench77.0%
#10 of 65 in its generation · #14 of 74 overall
Gbaeval65.3%
#5 of 22 in its generation · #5 of 22 overall
ALE-Bench1,463
#15 of 63 in its generation · #16 of 82 overall
Lmca50.02
#21 of 70 in its generation · #21 of 121 overall
Game puzzles35.0%
#17 of 57 in its generation, tied with 1 · #20 of 77 overall

Where it falls behind

Tests where it sits in the bottom half of its own generation.

CursorBench34.1%
#14 of 14 in its generation · record: 57.8% (Claude Opus 5.5)
SimpleQA Verified33.7%
#48 of 60 in its generation · record: 76.0% (Gemini 4 Argon)
Blueprint Bench 224.9%
#20 of 29 in its generation · record: 54.4% (Gemini 4 Argon)
DeepSWE53.8%
#17 of 26 in its generation · record: 74.1% (GPT-6 Astra)
SimpleBench60.6%
#23 of 39 in its generation · record: 81.9% (Claude Fable 5)
See all 26 tests, one by one
TestScoreIn its generationOverallTest record
GPQA Diamond 90.5% #34 / 77 #36 / 173 96.4% Gemini 4 Argon
AIME 2024 and 2025 (OTIS) 94.7% #35 / 78 #41 / 168 100.0% GPT-5.5
Dtbench 92.5% #27 / 70 #27 / 148 98.9% Claude Opus 5.5
Lmca 50.02 #21 / 70 #21 / 121 68.23 Claude Opus 5.5
CritPt 16.9% #30 / 75 #34 / 112 32.3% GPT-5.6 Sol
WeirdML 68.8% #20 / 56 #20 / 112 93.6% GPT-6 Astra
SciCode 54.3% #27 / 72 #31 / 104 66.9% Claude Opus 5.5
Frontiermath Tiers 1 3 V2 65.6% #29 / 63 #34 / 86 93.7% GPT-6 Astra
ALE-Bench 1,463 #15 / 63 #16 / 82 2,951 GPT-6 Astra
WebDev Arena 1,537 #31 / 74 #33 / 82 1,820 Claude Opus 5.5
SimpleQA Verified 33.7% #48 / 60 #56 / 81 76.0% Gemini 4 Argon
Chess puzzles 45.0% #23 / 62 (tied with 2) #26 / 80 76.0% GPT-6 Astra
Game puzzles 35.0% #17 / 57 (tied with 1) #20 / 77 84.0% GPT-6 Astra
ProofBench 77.0% #10 / 65 #14 / 74 100.0% Claude Fable 5.1
SimpleBench 60.6% #23 / 39 #24 / 74 81.9% Claude Fable 5
Frontiermath Tier 4 V2 29.3% #26 / 53 (tied with 2) #31 / 67 100.0% GPT-6.1 Sol
Vending Bench 2 6,378 #16 / 47 #18 / 57 15,515 GPT-6 Astra
Apex Agents 54.5% #18 / 46 #21 / 50 82.4% Gemini 4 Argon
FrontierCode 42.7% #17 / 39 #20 / 43 54.6% Claude Opus 5.5
Blueprint Bench 2 24.9% #20 / 29 #22 / 31 54.4% Gemini 4 Argon
Gso 37.3% #9 / 17 #9 / 28 88.2% Claude Fable 5.1
DeepSWE 53.8% #17 / 26 #17 / 26 74.1% GPT-6 Astra
Surface Evolver Bench 60.0% #10 / 22 #10 / 24 95.0% Claude Fable 5
Gbaeval 65.3% #5 / 22 #5 / 22 79.6% Claude Opus 5
CursorBench 34.1% #14 / 14 #16 / 16 57.8% Claude Opus 5.5
Btf3 14.2% #4 / 8 #4 / 8 14.9% GLM-5.3

For each test, the model's best effort level counts, as in the ranking. Source of the scores: Epoch AI, under CC BY 4.0.

Comparison

What to compare Claude Sonnet 5 with

The models from other labs closest in capability and released in the same period, at most two per lab. Click any of them to see its page.

ModelLabECIELOLiveBenchRelease
Qwen 3.8 Max Alibaba 156.88 1,536 78.5 Aug 2, 2026
Muse Spark 1.3 Meta AI 156.76 1,528 81.6 Sep 2, 2026
Claude Sonnet 5 Anthropic 156.36 1,491 76.0 Jun 30, 2026
GPT-5.6 Luna OpenAI 156.33 1,478 73.6 Jul 9, 2026
Grok 4.6 xAI 156.31 1,475 78.0 Aug 12, 2026
GPT-6 Luna OpenAI 156.31 n/a 72.0 Sep 22, 2026
GLM-5.3 Z.ai (Zhipu AI) 155.91 n/a 76.1 Aug 14, 2026
Head to head

Claude Sonnet 5 or GPT-5.6 Luna?

GPT-5.6 Luna is the model from another lab closest to Claude Sonnet 5 in capability. Across the 22 tests both took, this is the score:

Claude Sonnet 5 ahead on 12 GPT-5.6 Luna ahead on 10
Largest differences first
TestClaude Sonnet 5GPT-5.6 Luna
Frontiermath Tier 4 V2 29.3% 61.0%
Game puzzles 35.0% 21.0%
Vending Bench 2 6,378 4,095
SimpleBench 60.6% 46.8%
ProofBench 77.0% 60.0%
Apex Agents 54.5% 43.0%
Frontiermath Tiers 1 3 V2 65.6% 82.1%
DeepSWE 53.8% 67.2%
CritPt 16.9% 20.6%
SimpleQA Verified 33.7% 41.0%

Unweighted score: each test counts one point, whether math or coding. The dot marks who did better on each row.

Cost per task

What Claude Sonnet 5 costs to deliver each task

Price per token is what is on the price sheet; cost per task is what lands on the invoice, because it depends on how many tokens the model spends. Each point is an effort level, published by whoever ran the test and compiled by Epoch AI. The further up and to the left, the more score per dollar.

CursorBench

The score scale does not start at zero.

12%21%29%38%47%US$ 0.05US$ 0.10US$ 0.20US$ 0.50US$ 1US$ 2US$ 5cost per task (log scale)Claude Sonnet 5 · low · 24.1% · US$ 1.39lowClaude Sonnet 5 · medium · 28.0% · US$ 2.31mediumClaude Sonnet 5 · high · 30.8% · US$ 3.48highClaude Sonnet 5 · xhigh · 32.0% · US$ 4.55xhighClaude Sonnet 5 · max · 34.1% · US$ 7.17maxGLM-5.3 · low · 33.3% · US$ 2.04GLM-5.3 · high · 38.0% · US$ 3.24GLM-5.3 · max · 42.6% · US$ 5.05GPT-5.6 Luna · low · 16.0% · US$ 0.03GPT-5.6 Luna · medium · 22.2% · US$ 0.08GPT-5.6 Luna · high · 29.4% · US$ 0.25GPT-5.6 Luna · xhigh · 33.0% · US$ 0.44GPT-5.6 Luna · max · 35.9% · US$ 1.03Grok 4.6 · low · 33.4% · US$ 2.25Grok 4.6 · medium · 36.1% · US$ 3.48Grok 4.6 · high · 40.4% · US$ 5.20Grok 4.6 · xhigh · 41.4% · US$ 6.10
Claude Sonnet 5GLM-5.3GPT-5.6 LunaGrok 4.6

DeepSWE

The score scale does not start at zero.

0%19%39%58%77%US$ 0.10US$ 0.20US$ 0.50US$ 1US$ 2US$ 5US$ 10US$ 20cost per task (log scale)Claude Sonnet 5 · low · 30.5% · US$ 2.19lowClaude Sonnet 5 · medium · 39.8% · US$ 4.08mediumClaude Sonnet 5 · high · 48.2% · US$ 7.43highClaude Sonnet 5 · xhigh · 49.7% · US$ 11.89xhighClaude Sonnet 5 · max · 53.8% · US$ 26.40maxGPT-5.6 Luna · low · 1.5% · US$ 0.07GPT-5.6 Luna · medium · 11.3% · US$ 0.22GPT-5.6 Luna · high · 44.2% · US$ 0.78GPT-5.6 Luna · xhigh · 56.9% · US$ 1.54GPT-5.6 Luna · max · 67.2% · US$ 3.03Grok 4.6 · low · 41.6% · US$ 1.04Grok 4.6 · medium · 67.5% · US$ 3.45Grok 4.6 · high · 65.2% · US$ 4.38Grok 4.6 · xhigh · 66.7% · US$ 5.50
Claude Sonnet 5GPT-5.6 LunaGrok 4.6
Family

Other models from Anthropic

The models from the same lab closest in time, newest first.

ModelReleaseECIELOLiveBenchAccess
Claude Haiku 5.5 Oct 7, 2026 158.98 n/a 72.1 API access
Claude Sonnet 5.5 Sep 28, 2026 164.45 1,537 77.8 API access
Claude Opus 5.5 Sep 22, 2026 166.82 1,584 83.2 API access
Claude Fable 5.1 Sep 1, 2026 164.65 1,586 83.4 API access
Claude Opus 5 Jul 24, 2026 162.60 1,573 80.1 API access
Claude Sonnet 5 Jun 30, 2026 156.36 1,491 76.0 API access
Claude Fable 5 Jun 9, 2026 162.13 1,542 83.0 API access
Claude Opus 4.8 May 28, 2026 158.26 1,507 76.2 API access
Claude Opus 4.7 Apr 16, 2026 156.32 1,532 76.5 API access
Your rating

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Frequently asked questions

What people ask about Claude Sonnet 5

Does Claude Sonnet 5 still work?

Yes. It is a legacy model, but it is still available on the Anthropic API, Amazon Bedrock, Google Cloud, Microsoft Foundry and Claude Platform on AWS. Anthropic guarantees it will not be retired before June 30, 2027 on the platforms it operates, with at least 60 days' notice.

How much does Claude Sonnet 5 cost?

US$ 2 per million input tokens and US$ 10 per million output. Cache reads cost US$ 0.20, cache writes US$ 2.50 (5 minutes) or US$ 4 (1 hour), and batch is US$ 1 and US$ 5. It is exactly the Sonnet 5.5 price list.

Will Sonnet 5 go up to US$ 3 and US$ 15?

No. The increase was scheduled for September 1, 2026, but on August 10, 2026 Anthropic made the launch price of US$ 2 and US$ 10 permanent. The cost charts in the announcement still use the old prices.

Sonnet 5 or Sonnet 5.5?

For new projects, Sonnet 5.5: it costs the same, wins all eight tests in the launch table and, according to Anthropic, generates output more than 30% faster. Sonnet 5 only makes sense while your code depends on features 5.5 rejects, such as turning thinking off with disabled and forced tool use.

Why was a request to Sonnet 5.5 answered by Sonnet 5?

Because Sonnet 5.5's safety classifier refused the request, usually a cybersecurity one, and it fell to the fallback model. On the API, this happens with the fallbacks parameter in default mode, and that part is billed at Sonnet 5 rates.

Where does Claude Sonnet 5 rank among AI models?

In the ROO3 AI Benchmark, ordered by the Epoch AI ECI, Claude Sonnet 5 ranks #24 out of 267 models, with an ECI of 156.36. The ECI is a composite index that combines several hard benchmarks into a single scale. The position changes when a new model comes out, and the page is refreshed six times a day.

Is Claude Sonnet 5 better than GPT-5.6 Luna?

Across the 22 tests both models took and Epoch AI compiled, Claude Sonnet 5 comes out ahead on 12, behind on 10 and tied on 0. It is a test-by-test count with no weighting: a win in math counts the same as a win in coding. To choose between the two, look at the tests that resemble your own use.

What is Claude Sonnet 5 best at?

Against models of the same generation (released up to 9 months before and up to 3 months after it), the best relative results of Claude Sonnet 5 are: ProofBench (#10 of 65); Gbaeval (#5 of 22); ALE-Bench (#15 of 63). The yardstick is its position among the models of that period that took the same test.

Where do the numbers on this page come from?

From the same three sources as the ranking, all openly licensed: Epoch AI (ECI and individual tests, CC BY 4.0), Arena (human-preference ELO, CC BY 4.0) and LiveBench (overall average, CC BY-SA 4.0). ROO3 does not measure any model. When the page shows a figure published by the maker itself, it appears in the written analysis, labeled as the maker's, and never enters the ranking.

Sources

Where each number comes from

  1. Anthropic, Claude Sonnet 5 announcement
  2. Anthropic, Claude Sonnet 5 system card
  3. Anthropic, Claude Sonnet 5 overview (documentation)
  4. Anthropic, prompting Claude Sonnet 5 (documentation)
  5. Anthropic, pricing (documentation)
  6. Anthropic, model deprecations (documentation)
  7. Anthropic, migrating to Claude Sonnet 5.5 (documentation)
  8. Anthropic, refusals and fallback (documentation)
  9. Anthropic, platform release notes (documentation)
  10. Anthropic, Claude Sonnet 5.5 announcement (comparison with Sonnet 5)

Epoch AI, "AI Benchmarking Hub". Published at epoch.ai. Data under the CC BY 4.0 licence, reordered by roo3.co.

The Arena (LMArena) leaderboard, from the public lmarena-ai/leaderboard-dataset on Hugging Face, under the CC BY 4.0 licence. We are not affiliated with the Arena.

LiveBench, by the LiveBench team, published at livebench.ai under the CC BY-SA 4.0 license. The overall average is recomputed by roo3.co with the same formula as the website (average of the categories), and those numbers stay under CC BY-SA 4.0. We are not affiliated with LiveBench.

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