Claude Sonnet 5
AnthropicKey claude-sonnet-5Also reported as router_client:claude/claude-sonnet-5, anthropic/claude-sonnet-5, kiro/claude-sonnet-5, orcarouter/anthropic/claude-sonnet-5, claude/claude-sonnet-5, gh/claude-sonnet-5, router_client:unknown/claude-sonnet-5, vy/claude-sonnet-5, vibeproxy/claude-sonnet-5, sub-bridge/claude-sonnet-5, cursor/claude-sonnet-5, frg/claude-sonnet-5, cc/claude-sonnet-5, dario/claude-sonnet-5, omni/claude/claude-sonnet-5
- Rank
- #20
- by active users
- Active users
- 138
- Down 384 from 522 active users in the previous 30 days. vs previous 30 days
- Adoption
- 14%
- of 958 accounts
- Tokens
- 78B
- cache included
- Est. cost
- $23.1K
- at public list prices
- First seen
- Apr 14, 2026
- in any submission
Oct 14 – Nov 12, 2026 (UTC)958 accounts100% of tokens from an identified modelData through Nov 12, 2026, 00:47 UTCHow we count
Daily active users
Distinct accounts that used this model on each UTC day.
2 active users on Nov 12, 2026
Show daily values
| Date (UTC) | Active users | Tokens |
|---|---|---|
| Oct 14, 2026 | 42 | 2.2B |
| Oct 15, 2026 | 39 | 4.2B |
| Oct 16, 2026 | 38 | 2.7B |
| Oct 17, 2026 | 24 | 2.4B |
| Oct 18, 2026 | 29 | 1.6B |
| Oct 19, 2026 | 32 | 3.5B |
| Oct 20, 2026 | 28 | 2.3B |
| Oct 21, 2026 | 30 | 2.3B |
| Oct 22, 2026 | 24 | 1.7B |
| Oct 23, 2026 | 21 | 2.1B |
| Oct 24, 2026 | 20 | 620.6M |
| Oct 25, 2026 | 24 | 686.9M |
| Oct 26, 2026 | 26 | 662.3M |
| Oct 27, 2026 | 27 | 759.5M |
| Oct 28, 2026 | 25 | 1.5B |
| Oct 29, 2026 | 22 | 1.3B |
| Oct 30, 2026 | 27 | 3.2B |
| Oct 31, 2026 | 27 | 1.6B |
| Nov 1, 2026 | 23 | 3.9B |
| Nov 2, 2026 | 22 | 605.7M |
| Nov 3, 2026 | 23 | 4.9B |
| Nov 4, 2026 | 20 | 1.4B |
| Nov 5, 2026 | 23 | 1.6B |
| Nov 6, 2026 | 23 | 6.1B |
| Nov 7, 2026 | 18 | 3.6B |
| Nov 8, 2026 | 18 | 8.5B |
| Nov 9, 2026 | 19 | 1.9B |
| Nov 10, 2026 | 15 | 8.2B |
| Nov 11, 2026 | 11 | 2.2B |
| Nov 12, 2026 | 2 | 4.2M |
Token mix
How the 78B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.
- Input0.4%
- Output0.3%
- Cache read97%
- Cache write2.5%
- Reasoning<0.1%
Agents that carry Claude Sonnet 5
Each agent's share of this model's tokens, and how many accounts used the model through it.
Claude Code90% of this model's tokens111active users
Oh My Pi3.9% of this model's tokens7active users
Prime Agent3.6% of this model's tokens1active users
Senpi (OmO Native)1.6% of this model's tokens13active users
Hermes Agent0.9% of this model's tokens5active users
Pi0.2% of this model's tokens4active users
OpenCode0.2% of this model's tokens6active users
Aside<0.1% of this model's tokens1active users
Gajae Code<0.1% of this model's tokens2active users
Grok Build<0.1% of this model's tokens1active users
Benchmarks
The best result for Claude Sonnet 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. Agent rows also show Tokscale usage through that agent, side by side with the score. Usage does not explain the score.
- Epoch Capabilities IndexOverall · Epoch AI156.9
Epoch Capabilities Index: 156.9
- Model
- Claude Sonnet 5
- Listed as
- Claude Sonnet 5
- Conditions
- Not reported
- Interval
- 154.1–159.7
- Unit
- ECI
- Model released
- Jun 30, 2026
- Retrieved
- Oct 21, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Rank #25 of 160 matched modelsNo conditions reportedModel released Jun 30, 2026Source: epoch.ai (opens in a new tab) - Terminal-Bench 4.0Agentic coding · Terminal-Bench12.4%
Terminal-Bench 4.0: 12.4%
- Model
- Claude Sonnet 5
- Listed as
- Sonnet 5
- Conditions
- Max · Claude Code
- Interval
- 9.4–15.5%
- Unit
- % resolved
- Published
- Aug 27, 2026
- Retrieved
- Oct 21, 2026
Source · Terminal-Bench 4.0 official leaderboard, tbench.ai
Rank #21 of 23 matched modelsMax · Claude CodePublished Aug 27, 2026Source: tbench.ai (opens in a new tab)
Tokscale usage: Claude Code carried 90% of Claude Sonnet 5 tokens in the last 30 days (111 active users). - CursorBenchAgentic coding · Cursor, collected by Epoch AI34.1%
CursorBench: 34.1%
- Model
- Claude Sonnet 5
- Listed as
- Sonnet 5 Max
- Conditions
- Max
- Unit
- score
- Model released
- Jun 30, 2026
- Retrieved
- Oct 21, 2026
Best of 5 reported results for this model.
Source · CursorBench results by Cursor, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Show 4 more results with other run conditionsHide the other results
- Listed as Sonnet 5 Extra High32.0%
CursorBench: 32.0%
- Model
- Claude Sonnet 5
- Listed as
- Sonnet 5 Extra High
- Conditions
- XHigh
- Unit
- score
- Model released
- Jun 30, 2026
- Retrieved
- Oct 21, 2026
Source · CursorBench results by Cursor, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- Listed as Sonnet 5 High30.8%
CursorBench: 30.8%
- Model
- Claude Sonnet 5
- Listed as
- Sonnet 5 High
- Conditions
- High
- Unit
- score
- Model released
- Jun 30, 2026
- Retrieved
- Oct 21, 2026
Source · CursorBench results by Cursor, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- Listed as Sonnet 5 Medium28.0%
CursorBench: 28.0%
- Model
- Claude Sonnet 5
- Listed as
- Sonnet 5 Medium
- Conditions
- Medium
- Unit
- score
- Model released
- Jun 30, 2026
- Retrieved
- Oct 21, 2026
Source · CursorBench results by Cursor, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- Listed as Sonnet 5 Low24.1%
CursorBench: 24.1%
- Model
- Claude Sonnet 5
- Listed as
- Sonnet 5 Low
- Conditions
- Low
- Unit
- score
- Model released
- Jun 30, 2026
- Retrieved
- Oct 21, 2026
Source · CursorBench results by Cursor, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- DeepSWEAgentic coding · Datacurve, collected by Epoch AI53.8%
DeepSWE: 53.8%
- Model
- Claude Sonnet 5
- Listed as
- claude-sonnet-5 (max)
- Conditions
- Max · mini-swe-agent
- Interval
- 49.6–58.1%
- Unit
- pass@1
- Model released
- Jun 30, 2026
- Retrieved
- Oct 21, 2026
Best of 5 reported results for this model.
Source · DeepSWE results by Datacurve, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Rank #17 of 26 matched modelsMax · mini-swe-agentModel released Jun 30, 2026Source: deepswe.datacurve.ai (opens in a new tab)Show 4 more results with other run conditionsHide the other results
- Listed as claude-sonnet-5 (xhigh)49.7%
DeepSWE: 49.7%
- Model
- Claude Sonnet 5
- Listed as
- claude-sonnet-5 (xhigh)
- Conditions
- XHigh · mini-swe-agent
- Interval
- 46.2–53.1%
- Unit
- pass@1
- Model released
- Jun 30, 2026
- Retrieved
- Oct 21, 2026
Source · DeepSWE results by Datacurve, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- Listed as claude-sonnet-5 (high)48.2%
DeepSWE: 48.2%
- Model
- Claude Sonnet 5
- Listed as
- claude-sonnet-5 (high)
- Conditions
- High · mini-swe-agent
- Interval
- 43.7–52.7%
- Unit
- pass@1
- Model released
- Jun 30, 2026
- Retrieved
- Oct 21, 2026
Source · DeepSWE results by Datacurve, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- Listed as claude-sonnet-5 (medium)39.8%
DeepSWE: 39.8%
- Model
- Claude Sonnet 5
- Listed as
- claude-sonnet-5 (medium)
- Conditions
- Medium · mini-swe-agent
- Interval
- 36.7–42.9%
- Unit
- pass@1
- Model released
- Jun 30, 2026
- Retrieved
- Oct 21, 2026
Source · DeepSWE results by Datacurve, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- Listed as claude-sonnet-5 (low)30.5%
DeepSWE: 30.5%
- Model
- Claude Sonnet 5
- Listed as
- claude-sonnet-5 (low)
- Conditions
- Low · mini-swe-agent
- Interval
- 29.4–31.6%
- Unit
- pass@1
- Model released
- Jun 30, 2026
- Retrieved
- Oct 21, 2026
Source · DeepSWE results by Datacurve, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- WebDev ArenaWeb development · LMArena1,540
WebDev Arena: 1,540
- Model
- Claude Sonnet 5
- Listed as
- Claude Sonnet 5 (High)
- Conditions
- High
- Interval
- 1534–1546
- 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
- Agent ArenaAgents · LMArena+0.04
Agent Arena: +0.04
- Model
- Claude Sonnet 5
- Listed as
- Claude Sonnet 5 (High)
- Conditions
- High · Arena Agent Mode
- Interval
- 0.02 to 0.06
- Unit
- net improvement
- Published
- Oct 19, 2026
- Retrieved
- Oct 21, 2026
Source · LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset on Hugging Face), CC BY 4.0
Rank #11 of 48 matched modelsHigh · Arena Agent ModePublished Oct 19, 2026Source: huggingface.co (opens in a new tab) - GPQA DiamondReasoning · Epoch AI90.5%
GPQA Diamond: 90.5%
- Model
- Claude Sonnet 5
- Listed as
- claude-sonnet-5_xhigh
- Conditions
- XHigh
- Unit
- % correct
- Run date
- Jul 1, 2026
- Retrieved
- Oct 21, 2026
Best of 2 reported results for this model.
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Near its ceiling: the top score is 96.4%, and Epoch AI estimates the reachable maximum at 97%. Differences between top models are small.
Show 1 more result with other run conditionsHide the other results
- Listed as claude-sonnet-5_max80.3%
GPQA Diamond: 80.3%
- Model
- Claude Sonnet 5
- Listed as
- claude-sonnet-5_max
- Conditions
- Max
- Unit
- % correct
- Run date
- Aug 6, 2026
- Retrieved
- Oct 21, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI65.6%
FrontierMath Tiers 1–3 (v2): 65.6%
- Model
- Claude Sonnet 5
- Listed as
- claude-sonnet-5_max
- Conditions
- Max
- Unit
- % solved
- Run date
- Jun 30, 2026
- Retrieved
- Oct 21, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Near its ceiling: the top score is 93.7%, and Epoch AI estimates the reachable maximum at 95%. Differences between top models are small.
- SimpleQA VerifiedKnowledge · Epoch AI33.7%
SimpleQA Verified: 33.7%
- Model
- Claude Sonnet 5
- Listed as
- claude-sonnet-5_max
- Conditions
- Max
- Unit
- % correct
- Run date
- Aug 27, 2026
- Retrieved
- Oct 21, 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-5_xhigh32.9%
SimpleQA Verified: 32.9%
- Model
- Claude Sonnet 5
- Listed as
- claude-sonnet-5_xhigh
- Conditions
- XHigh
- Unit
- % correct
- Run date
- Aug 27, 2026
- Retrieved
- Oct 21, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Pricing
List prices from models.dev in US dollars per 1M tokens, retrieved Oct 21, 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
- $0.30
- Est. per 1M tokens
97% cache reads - At the community mix
- $0.31
- Est. per 1M tokens
96% cache reads - 3:1 input/output blend
- $4
- Per 1M tokens at list prices
No cache
Cache reads were 97% of Claude Sonnet 5 tokens in the last 30 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 $2, output $10, cache read $0.20, cache write $2.50.
- This model's mix is its own input, output, cache and reasoning tokens in the last 30 days.
- The community mix is the tokens of every identified model in the last 30 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-5$2 input per 1M tokens$10 output per 1M tokens$0.20 cache read per 1M tokens$2.50 cache write per 1M tokens1M tokens of context - Amazon Bedrock
anthropic.claude-sonnet-5$2 input per 1M tokens$10 output per 1M tokens$0.20 cache read per 1M tokens$2.50 cache write per 1M tokens1M tokens of context - Vertex
claude-sonnet-5@default$2 input per 1M tokens$10 output per 1M tokens$0.20 cache read per 1M tokens$2.50 cache write per 1M tokens1M tokens of context - Vertex (Anthropic)
claude-sonnet-5@default$2 input per 1M tokens$10 output per 1M tokens$0.20 cache read per 1M tokens$2.50 cache write per 1M tokens1M tokens of context
Show 3 more providersShow fewer providers
- Azure
claude-sonnet-5$2 input per 1M tokens$10 output per 1M tokens$0.20 cache read per 1M tokens$2.50 cache write per 1M tokens1M tokens of context - OpenRouter
anthropic/claude-sonnet-5$2 input per 1M tokens$10 output per 1M tokens$0.20 cache read per 1M tokens$2.50 cache write per 1M tokens1M tokens of context - Vercel AI Gateway
anthropic/claude-sonnet-5$2 input per 1M tokens$10 output per 1M tokens$0.20 cache read per 1M tokens$2.50 cache write per 1M tokens1M tokens of context
Specs
From models.dev (MIT), retrieved Oct 21, 2026, as the lab or the first listed provider reports them. A dash means models.dev does not list the value.
- Context window
- 1M tokens
- Max output
- 128K tokens
- Input
- Text, Image, PDF
- Output
- Text
- Knowledge cutoff
- Jan 31, 2026
- Release date
- Jun 29, 2026
- Open weights
- No
- Reasoning
- Yes
- Tool calling
- Yes
Top public profiles
Public profiles that used Claude Sonnet 5 most in this period, by tokens. Hidden accounts are never listed.
- 1
G Man@genx7up26.5Btokens$7Kest. cost24active days$7K est. cost · 24 active days
- 2
midego@midego17.7Btokens$1.7Kest. cost3active days$1.7K est. cost · 3 active days
- 3
Zhenhao Zhang@X0X0X005.3Btokens$1.1Kest. cost7active days$1.1K est. cost · 7 active days
- 4
Milad Safdari@Eulex0x4.4Btokens$1.1Kest. cost13active days$1.1K est. cost · 13 active days
- 5
Claudiu Micu@buildwithme3.9Btokens$1.2Kest. cost17active days$1.2K est. cost · 17 active days
- 6
Robin Dirksen@robindirksen13.5Btokens$781est. cost28active days$781 est. cost · 28 active days
- 7
Soju06@Soju062.9Btokens$1.3Kest. cost11active days$1.3K est. cost · 11 active days
- 8
Junho Yeo@junhoyeo2.8Btokens$778est. cost5active days$778 est. cost · 5 active days
- 9
Burak@drementer1.6Btokens$378est. cost18active days$378 est. cost · 18 active days
- 10
Yoonjae@AngryJay911.5Btokens$405est. cost4active days$405 est. cost · 4 active days
More from Anthropic
Other Anthropic models in the same period, by active users.
- Claude Opus 5.574% adoption709active users
- Claude Sonnet 5.558% adoption555active users
- Claude Haiku 5.550% adoption477active users
- Claude Fable 5.138% adoption361active users
- Claude Opus 4.823% adoption222active users
- Claude Fable 5.218% adoption176active 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.