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Anthropic · AI model

Claude Sonnet 4.5

Deprecated Sonnet-line model (deprecated 2026-09-30, retires 2026-11-30 on Anthropic-operated platforms; replacement: Claude Sonnet 5.5). 200K-token context, 64K max output, optional extended thinking. $3 / $15 per million input / output tokens.

Last verified Deprecated 10 sources

Key specs

Provider
Anthropic
Family
Claude Sonnet
API identifier
claude-sonnet-4-5-20250929
Availability
Deprecated
Release date
2025-09-29
Retirement date
2026-11-30
License
Proprietary (Anthropic Commercial Terms of Service)
Context window
200,000 tokens
Max output
64,000 tokens
Knowledge cutoff
January 2025
API access
Yes
Consumer app
Unknown

Capabilities

Inputs

  • Text input Yes Input -> output: text and images -> text
  • Image input Yes Standard resolution tier (1568 px long edge) per Vision docs
  • Audio input No Documented input modalities are text and images only
  • Video input No Documented input modalities are text and images only
  • File input Unknown

Outputs

  • Text output Yes
  • Image output No Claude is documented as an image understanding model only; it cannot generate images
  • Audio output No Documented output modality is text only

Features

  • Reasoning Optional Thinking off by default; manual extended thinking via budget_tokens; adaptive thinking returns a 400 error
  • Tool calling Yes Tool use system prompt tokens documented for this model
  • Web search Unknown

"Unknown" means we have not verified this capability yet; it does not mean the model lacks it.

DimensionTierPriceSinceVerifiedSource
Input tokens base $3.00 per 1M tokens 2026-10-12 2026-10-25 Pricing - Claude Platform Docs
Cached input tokens base $0.30 per 1M tokens 2026-10-12 2026-10-25 Pricing - Claude Platform Docs Cache hits and refreshes; 0.1x base input
Cache writes base $3.75 per 1M tokens 2026-10-12 2026-10-25 Pricing - Claude Platform Docs 5-minute cache write (1.25x base input)
Cache writes (1-hour retention) base $6.00 per 1M tokens 2026-10-12 2026-10-25 Pricing - Claude Platform Docs 2x base input
Output tokens base $15.00 per 1M tokens 2026-10-12 2026-10-25 Pricing - Claude Platform Docs
Batch input tokens base $1.50 per 1M tokens 2026-10-12 2026-10-25 Pricing - Claude Platform Docs Batch API: 50% of standard (pricing page batch table)
Batch output tokens base $7.50 per 1M tokens 2026-10-12 2026-10-25 Pricing - Claude Platform Docs Batch API: 50% of standard (pricing page batch table)

Prices are shown in the currency the provider publishes; we never convert currencies.

Benchmarks

BenchmarkSettingScoreReported byMeasuredVerifiedSource
FrontierMath Tiers 1-3 (v2) accuracy %, higher is better Tiers 1-3 v2; 32k thinking; Epoch harness (Python tool) 23.9 % Third party 2026-06-11 2026-10-12 FrontierMath Tiers 1-3 (v2) leaderboard (Epoch AI)
GDPval-AA v2.1 Elo, higher is better Reasoning 909 Elo Third party 2026-10-12 2026-10-12 GDPval-AA v2.1 Leaderboard (Artificial Analysis)
Humanity's Last Exam accuracy %, higher is better no thinking label; Scale Labs harness, o3-mini judge (tools not stated) 7.52 % Third party — 2026-10-12 Humanity's Last Exam leaderboard (Scale Labs)
thinking; Scale Labs harness, o3-mini judge (tools not stated) 13.72 % Third party — 2026-10-12 Humanity's Last Exam leaderboard (Scale Labs)
Text Arena Arena score, higher is better Overall, style control on; no effort suffix 1,455 Third party 2026-10-08 2026-10-12 Text Arena leaderboard (Arena)
Overall, style control on; thinking, high-32k 1,456 Third party 2026-10-08 2026-10-12 Text Arena leaderboard (Arena)
FrontierMath Tiers 1-3 (v2) caveats:

FrontierMath was developed with funding from OpenAI, which has exclusive access to a subset of the problems. Scores from v1 and from Tier 4 (a separate 43-problem expansion set) are not comparable with Tiers 1-3 (v2). The best models score about 94%, so the benchmark separates mid-size models better than it separates frontier models. Epoch's numbers come from its own harness (Python tool, 1M-token limit), which can differ from providers' internal setups. Margins are about ±1.4 to ±2.6 points.

GDPval-AA v2.1 caveats:

Elo is a relative rating: values change as models are added and the scale is re-anchored, so always store the date a rating was read. For example, Anthropic's launch page gives 1846 for Claude Opus 5.5, while the leaderboard on 2026-10-12 shows 1866 (Max, Default Fallback). Earlier versions (Google cites "GDPVal-AA v2") are not comparable. Judging is done by an LLM, not by human experts. Anthropic models are listed with "Default Fallback", meaning refused steps are routed to a fallback model. AA-Briefcase and GDP.pdf are separate evaluations.

Humanity's Last Exam caveats:

Results differ a lot by setting: with tools versus without tools (Anthropic reports 45.9% without tools and 57.4% with tools for Claude Haiku 5.5), and the full set versus the text-only subset. Providers use different judge models and harnesses (Scale uses o3-mini; Alibaba states GPT-4o). Derived sets such as HLE-Verified (a third-party revision with 1,811 scored items), HLE-Rolling and HLE-Diamond are different item sets and are not comparable. The questions are public, so contamination is possible, and community reviews have reported flawed items.

Text Arena caveats:

Scores measure voter preference, which can be influenced by answer style and length. The leaderboard offers a style-control adjustment, so record which view was used. Scores shift with every update, so a value is only meaningful together with its leaderboard date. Entries marked "Preliminary" or with few votes have wide confidence intervals. The same model can appear several times with different reasoning-effort suffixes (for example -high or -max). Category views (Coding, Math, Creative Writing and others) are different rankings from Overall.

One row per result, without rank numbers: each result was measured under its own setting (effort level, harness, tools, test version), as stated by the source, and scores compare only within the same setting. Self-reported results come from the provider and have not been reproduced independently.

Rankings

Derived from our published ranking snapshots; each ranking explains its criteria and weights.

Compare Claude Sonnet 4.5

Guides

About Claude Sonnet 4.5

Claude Sonnet 4.5 (released 2025-09-29, API ID claude-sonnet-4-5-20250929, alias claude-sonnet-4-5) was deprecated on 2026-09-30 and retires on the Anthropic-operated platforms (Claude API, Claude Platform on AWS, Claude Models on Google Cloud (Anthropic managed) and Microsoft Foundry) on 2026-11-30; Amazon Bedrock and Claude Models on Google Cloud (Google managed) set their own retirement schedules. Anthropic recommends Claude Sonnet 5.5 as the replacement. It accepts text and image input and returns text, with a 200K-token context window and 64K max output. Thinking is off by default and can be enabled as manual extended thinking with budget_tokens; the effort parameter is not supported.

Strengths and weaknesses

Strengths

  • Supports manual extended thinking with a configurable budget_tokens
  • Text and image input; listed on the Claude API, Amazon Bedrock (InvokeModel), Google Cloud, Microsoft Foundry and Claude Platform on AWS

Weaknesses

  • Deprecated; retires on Anthropic-operated platforms on 2026-11-30 (recommended replacement: Claude Sonnet 5.5)
  • 200K-token context window and 64K max output, smaller than the current lineup
  • Higher list price ($3 / $15 per million tokens) than its replacement Claude Sonnet 5.5 ($2 / $10)

Sources

  1. Claude Sonnet 4.5 - Claude Docs
  2. Commercial Terms of Service - Anthropic
  3. Vision - Claude Docs
  4. Thinking - Claude Docs
  5. Tool use with Claude - Claude Docs
  6. Pricing - Claude Platform Docs
  7. Humanity's Last Exam leaderboard (Scale Labs)
  8. FrontierMath Tiers 1-3 (v2) leaderboard (Epoch AI)
  9. GDPval-AA v2.1 Leaderboard (Artificial Analysis)
  10. Text Arena leaderboard (Arena)

Last verified Page updated 2026-10-27