Claude Sonnet 4.5
AnthropicKey claude-sonnet-4-5Also reported as claude-sonnet-4-5-20250929, claude-sonnet-4.5, claude sonnet 4-5, anthropic/claude-sonnet-4-5, kr/claude-sonnet-4-5, anthropic/claude-sonnet-4.5, antigravity/claude-sonnet-4-5, anthropic/claude-sonnet-4-5-20250929, anthropic/claude-4-5-sonnet, kiro/claude-sonnet-4-5, gh/claude-sonnet-4-5, enowxai/claude-sonnet-4-5, openrouter/anthropic/claude-sonnet-4-5, group/claude-sonnet-4-5, claude/claude-sonnet-4-5
- Rank
- #59
- by active users
- Active users
- 6
- No change from 6 active users in the previous 7 days. vs previous 7 days
- Adoption
- 1.0%
- of 613 accounts
- Tokens
- 63.4M
- cache included
- Est. cost
- $34
- at public list prices
- First seen
- Jan 1, 2025
- in any submission
Nov 7–13, 2026 (UTC)613 accounts100% of tokens from an identified modelData through Nov 13, 2026, 06:20 UTCHow we count
Daily active users
Distinct accounts that used this model on each UTC day.
1 active users on Nov 13, 2026
Show daily values
| Date (UTC) | Active users | Tokens |
|---|---|---|
| Nov 7, 2026 | 1 | 44.6K |
| Nov 8, 2026 | 3 | 2.2M |
| Nov 9, 2026 | 2 | 355K |
| Nov 10, 2026 | 1 | 41.4M |
| Nov 11, 2026 | 2 | 19.3M |
| Nov 12, 2026 | 0 | 0 |
| Nov 13, 2026 | 1 | 83.3K |
Token mix
How the 63.4M tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.
- Input<0.1%
- Output0.8%
- Cache read96%
- Cache write3.6%
- Reasoning<0.1%
Agents that carry Claude Sonnet 4.5
Each agent's share of this model's tokens, and how many accounts used the model through it.
Claude Code97% of this model's tokens4active users
Oh My Pi3.3% of this model's tokens1active users
Hermes Agent0.1% of this model's tokens1active users
Benchmarks
The best result for Claude Sonnet 4.5 in each benchmark Tokscale tracks. Each benchmark has its own unit, run conditions and source, so compare a score only with other models on the same benchmark. Rank is among the models Tokscale matched in that benchmark.
- Epoch Capabilities IndexOverall · Epoch AI147.6
Epoch Capabilities Index: 147.6
- Model
- Claude Sonnet 4.5
- Listed as
- Claude Sonnet 4.5
- Conditions
- Not reported
- Interval
- 146.2–149.2
- Unit
- ECI
- Model released
- Sep 29, 2025
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Rank #77 of 158 matched modelsNo conditions reportedModel released Sep 29, 2025Source: epoch.ai (opens in a new tab) - WebDev ArenaWeb development · LMArena1,394
WebDev Arena: 1,394
- Model
- Claude Sonnet 4.5
- Listed as
- Claude Sonnet 4.5 (High, 32K, 20250929)
- Conditions
- High
- Interval
- 1386–1401
- Unit
- Arena score
- Published
- Oct 19, 2026
- Retrieved
- Oct 21, 2026
Best of 2 reported results for this model.
Source · LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset on Hugging Face), CC BY 4.0
Show 1 more result with other run conditionsHide the other results
- Listed as Claude Sonnet 4.5 (20250929)1,385
WebDev Arena: 1,385
- Model
- Claude Sonnet 4.5
- Listed as
- Claude Sonnet 4.5 (20250929)
- Conditions
- Not reported
- Interval
- 1378–1392
- Unit
- Arena score
- Published
- Oct 19, 2026
- Retrieved
- Oct 21, 2026
Source · LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset on Hugging Face), CC BY 4.0
- GPQA DiamondReasoning · Epoch AI82.3%
GPQA Diamond: 82.3%
- Model
- Claude Sonnet 4.5
- Listed as
- claude-sonnet-4-5-20250929_59K
- Conditions
- 59K budget
- Unit
- % correct
- Run date
- Oct 28, 2025
- Retrieved
- Nov 12, 2026
Best of 4 reported results for this model.
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Near its ceiling: the top score is 96.5%, and Epoch AI estimates the reachable maximum at 97%. Differences between top models are small.
Show 3 more results with other run conditionsHide the other results
- Listed as claude-sonnet-4-5-20250929_32K81.7%
GPQA Diamond: 81.7%
- Model
- Claude Sonnet 4.5
- Listed as
- claude-sonnet-4-5-20250929_32K
- Conditions
- 32K budget
- Unit
- % correct
- Run date
- Oct 21, 2025
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- Listed as claude-sonnet-4-5-20250929_16K78.8%
GPQA Diamond: 78.8%
- Model
- Claude Sonnet 4.5
- Listed as
- claude-sonnet-4-5-20250929_16K
- Conditions
- 16K budget
- Unit
- % correct
- Run date
- Oct 28, 2025
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- Listed as claude-sonnet-4-5-2025092973.7%
GPQA Diamond: 73.7%
- Model
- Claude Sonnet 4.5
- Listed as
- claude-sonnet-4-5-20250929
- Conditions
- Not reported
- Unit
- % correct
- Run date
- Sep 29, 2025
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- Humanity's Last ExamReasoning · Center for AI Safety and Scale AI, collected by Epoch AI13.7%
Humanity's Last Exam: 13.7%
- Model
- Claude Sonnet 4.5
- Listed as
- claude-sonnet-4-5-20250929-thinking
- Conditions
- Not reported
- Unit
- % correct
- Model released
- Sep 29, 2025
- Retrieved
- Nov 12, 2026
Best of 2 reported results for this model.
Source · Humanity's Last Exam results, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Rank #24 of 40 matched modelsNo conditions reportedModel released Sep 29, 2025Source: lastexam.ai (opens in a new tab)Show 1 more result with other run conditionsHide the other results
- Listed as claude-sonnet-4-5-202509297.5%
Humanity's Last Exam: 7.5%
- Model
- Claude Sonnet 4.5
- Listed as
- claude-sonnet-4-5-20250929
- Conditions
- Not reported
- Unit
- % correct
- Model released
- Sep 29, 2025
- Retrieved
- Nov 12, 2026
Source · Humanity's Last Exam results, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI23.9%
FrontierMath Tiers 1–3 (v2): 23.9%
- Model
- Claude Sonnet 4.5
- Listed as
- claude-sonnet-4-5-20250929_32K
- Conditions
- 32K budget
- Unit
- % solved
- Run date
- Jun 11, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Near its ceiling: the top score is 95.1%, and Epoch AI estimates the reachable maximum at 95%. Differences between top models are small.
- SimpleQA VerifiedKnowledge · Epoch AI30.7%
SimpleQA Verified: 30.7%
- Model
- Claude Sonnet 4.5
- Listed as
- claude-sonnet-4-5-20250929_59K
- Conditions
- 59K budget
- Unit
- % correct
- Run date
- Aug 27, 2026
- Retrieved
- Nov 12, 2026
Best of 2 reported results for this model.
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Show 1 more result with other run conditionsHide the other results
- Listed as claude-sonnet-4-5-2025092923.7%
SimpleQA Verified: 23.7%
- Model
- Claude Sonnet 4.5
- Listed as
- claude-sonnet-4-5-20250929
- Conditions
- Not reported
- Unit
- % correct
- Run date
- Aug 10, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- SWE-bench VerifiedHistory · Epoch AI71.3%
SWE-bench Verified: 71.3%
- Model
- Claude Sonnet 4.5
- Listed as
- claude-sonnet-4-5-20250929
- Conditions
- Not reported
- Unit
- % resolved
- Run date
- Feb 5, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Rank #23 of 32 matched modelsNo conditions reportedRun date Feb 5, 2026Source: epoch.ai (opens in a new tab)History only. Newer agentic coding benchmarks are on the main board.
Pricing
List prices from models.dev in US dollars per 1M tokens, retrieved Nov 12, 2026. Anthropic is the lab's own API and the reference price for the estimates below.
Price at real agent usageEstimate at list prices
What 1M tokens cost at the reference list price when they split into input, output and cache the way Tokscale users' agents used them. It is not what anyone paid.
- At this model's mix
- $0.53
- Est. per 1M tokens
96% cache reads - At the community mix
- $0.46
- Est. per 1M tokens
96% cache reads - 3:1 input/output blend
- $6
- Per 1M tokens at list prices
No cache
Cache reads were 96% of Claude Sonnet 4.5 tokens in the last 7 days and 96% of all tokens. The 3:1 blend, (3 × input + output) ÷ 4, is the usual comparison and ignores cache.
Assumptions
- Anthropic list prices per 1M tokens: input $3, output $15, cache read $0.30, cache write $3.75.
- This model's mix is its own input, output, cache and reasoning tokens in the last 7 days.
- The community mix is the tokens of every identified model in the last 7 days.
- This is an estimate at list prices, not what anyone paid.
- Reasoning tokens are priced as output.
- Long-context tiers, batch pricing and discounts are not applied.
- Token mixes come from public Tokscale submissions. Hidden accounts are excluded.
List prices by provider
- AnthropicReference
claude-sonnet-4-5$3 input per 1M tokens$15 output per 1M tokens$0.30 cache read per 1M tokens$3.75 cache write per 1M tokens200K tokens of context - Amazon Bedrock
anthropic.claude-sonnet-4-5-20250929-v1:0$3 input per 1M tokens$15 output per 1M tokens$0.30 cache read per 1M tokens$3.75 cache write per 1M tokens200K tokens of context - Vertex
claude-sonnet-4-5@20250929$3 input per 1M tokens$15 output per 1M tokens$0.30 cache read per 1M tokens$3.75 cache write per 1M tokens200K tokens of context - Vertex (Anthropic)
claude-sonnet-4-5@20250929$3 input per 1M tokens$15 output per 1M tokens$0.30 cache read per 1M tokens$3.75 cache write per 1M tokens200K tokens of context
Show 2 more providersShow fewer providers
- OpenRouter
anthropic/claude-sonnet-4.5$3 input per 1M tokens$15 output per 1M tokens$0.30 cache read per 1M tokens$3.75 cache write per 1M tokens1M tokens of context - Vercel AI Gateway
anthropic/claude-sonnet-4.5$3 input per 1M tokens$15 output per 1M tokens$0.30 cache read per 1M tokens$3.75 cache write per 1M tokens1M tokens of context
Specs
From models.dev (MIT), retrieved Nov 12, 2026, as the lab or the first listed provider reports them. A dash means models.dev does not list the value.
- Context window
- 200K tokens
- Max output
- 64K tokens
- Input
- Text, Image, PDF
- Output
- Text
- Knowledge cutoff
- Jul 31, 2025
- Release date
- Sep 29, 2025
- Open weights
- No
- Reasoning
- Yes
- Tool calling
- Yes
Top public profiles
Public profiles that used Claude Sonnet 4.5 most in this period, by tokens. Hidden accounts are never listed.
- 1
Ing Tian@IngTian61Mtokens$30est. cost3active days$30 est. cost · 3 active days
- 2
SangBum Kim@Puri122.1Mtokens$3est. cost1active days$3 est. cost · 1 active days
- 3
autocat@donghyeon-dev104Ktokens<$1est. cost2active days<$1 est. cost · 2 active days
- 4
Kim Yejun@kimjunny83.3Ktokens<$1est. cost1active days<$1 est. cost · 1 active days
- 5
Zenco@notzenco76.9Ktokens<$1est. cost1active days<$1 est. cost · 1 active days
- 6
Randy Chang@raw3455.1Ktokens<$1est. cost2active days<$1 est. cost · 2 active days
More from Anthropic
Other Anthropic models in the same period, by active users.
- Claude Opus 5.573% adoption446active users
- Claude Sonnet 5.547% adoption287active users
- Claude Fable 5.242% adoption255active users
- Claude Haiku 5.541% adoption253active users
- Claude Fable 5.125% adoption151active users
- Claude Opus 58.0% adoption49active users
Sources and attribution
Each score keeps its own source, unit and run conditions. Tokscale does not combine benchmarks into one score, and a missing score means the model was not evaluated, not that it scored zero.