Claude Sonnet 4.6
AnthropicKey claude-sonnet-4-6Also reported as router_client:claude/claude-sonnet-4-6, kr/claude-sonnet-4-6, anthropic/claude-sonnet-4-6, cc/claude-sonnet-4-6, dario/claude-sonnet-4-6, claude-sonnet-4.6, kiro/claude-sonnet-4-6, claude/claude-sonnet-4-6, google-antigravity/claude-sonnet-4-6, combo/todo-orchestrator/claude-sonnet-4-6, anthropic/claude-4-6-sonnet, gh/claude-sonnet-4-6, frg/claude-sonnet-4-6, combo/writing/claude-sonnet-4-6, combo/plan-gap-analyzer/claude-sonnet-4-6, ag/claude-sonnet-4-6, agy/claude-sonnet-4-6, no-think/claude/claude-sonnet-4-6, combo/unspecified-low/claude-sonnet-4-6, omni/claude/claude-sonnet-4-6
- Rank
- #34
- by active users
- Active users
- 55
- Down 45 from 100 active users in the previous 30 days. vs previous 30 days
- Adoption
- 5.7%
- of 961 accounts
- Tokens
- 5.3B
- cache included
- Est. cost
- $3K
- at public list prices
- First seen
- Nov 18, 2025
- in any submission
Oct 14 – Nov 12, 2026 (UTC)961 accounts100% of tokens from an identified modelData through Nov 12, 2026, 06:58 UTCHow we count
Daily active users
Distinct accounts that used this model on each UTC day.
0 active users on Nov 12, 2026
Show daily values
| Date (UTC) | Active users | Tokens |
|---|---|---|
| Oct 14, 2026 | 12 | 46.1M |
| Oct 15, 2026 | 12 | 49.2M |
| Oct 16, 2026 | 12 | 47.2M |
| Oct 17, 2026 | 11 | 87.6M |
| Oct 18, 2026 | 12 | 46.8M |
| Oct 19, 2026 | 10 | 34.2M |
| Oct 20, 2026 | 9 | 53.7M |
| Oct 21, 2026 | 7 | 18.4M |
| Oct 22, 2026 | 8 | 85.2M |
| Oct 23, 2026 | 6 | 164.7M |
| Oct 24, 2026 | 7 | 520.8M |
| Oct 25, 2026 | 7 | 152.6M |
| Oct 26, 2026 | 8 | 56M |
| Oct 27, 2026 | 4 | 10.4M |
| Oct 28, 2026 | 5 | 725M |
| Oct 29, 2026 | 5 | 493.1M |
| Oct 30, 2026 | 5 | 699M |
| Oct 31, 2026 | 5 | 1.3B |
| Nov 1, 2026 | 1 | 614K |
| Nov 2, 2026 | 5 | 129.6M |
| Nov 3, 2026 | 4 | 169.5M |
| Nov 4, 2026 | 4 | 11M |
| Nov 5, 2026 | 5 | 41M |
| Nov 6, 2026 | 5 | 18.7M |
| Nov 7, 2026 | 2 | 17.9M |
| Nov 8, 2026 | 1 | 49.1M |
| Nov 9, 2026 | 3 | 29M |
| Nov 10, 2026 | 3 | 112.7M |
| Nov 11, 2026 | 3 | 97.2M |
| Nov 12, 2026 | 0 | 0 |
Token mix
How the 5.3B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.
- Input2.7%
- Output0.7%
- Cache read94%
- Cache write2.4%
- Reasoning<0.1%
Agents that carry Claude Sonnet 4.6
Each agent's share of this model's tokens, and how many accounts used the model through it.
Claude Code60% of this model's tokens28active users
Oh My Pi31% of this model's tokens5active users
OpenClaw3.1% of this model's tokens1active users
Pi3.0% of this model's tokens3active users
Goose1.1% of this model's tokens1active users
Antigravity1.0% of this model's tokens3active users
Antigravity IDE Extension0.7% of this model's tokens6active users
OpenCode0.3% of this model's tokens3active users
Reasonix0.1% of this model's tokens1active users
DeepSeek Harness0.1% of this model's tokens2active users
Antigravity CLI<0.1% of this model's tokens5active users9Router<0.1% of this model's tokens1active users
Hermes Agent<0.1% of this model's tokens1active users
Benchmarks
The best result for Claude Sonnet 4.6 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 AI152.9
Epoch Capabilities Index: 152.9
- Model
- Claude Sonnet 4.6
- Listed as
- Claude Sonnet 4.6
- Conditions
- Not reported
- Interval
- 151.2–154.7
- Unit
- ECI
- Model released
- Feb 17, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Rank #55 of 158 matched modelsNo conditions reportedModel released Feb 17, 2026Source: epoch.ai (opens in a new tab) - DeepSWEAgentic coding · Datacurve, collected by Epoch AI29.9%
DeepSWE: 29.9%
- Model
- Claude Sonnet 4.6
- Listed as
- claude-sonnet-4-6 (high)
- Conditions
- High · mini-swe-agent
- Interval
- 25.8–34.0%
- Unit
- pass@1
- Model released
- Feb 17, 2026
- Retrieved
- Nov 12, 2026
Source · DeepSWE results by Datacurve, collected by Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Rank #25 of 26 matched modelsHigh · mini-swe-agentModel released Feb 17, 2026Source: deepswe.datacurve.ai (opens in a new tab) - WebDev ArenaWeb development · LMArena1,523
WebDev Arena: 1,523
- Model
- Claude Sonnet 4.6
- Listed as
- Claude Sonnet 4.6
- Conditions
- Not reported
- Interval
- 1518–1528
- 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
Rank #46 of 110 matched modelsNo conditions reportedPublished Oct 19, 2026Source: huggingface.co (opens in a new tab) - GPQA DiamondReasoning · Epoch AI87.4%
GPQA Diamond: 87.4%
- Model
- Claude Sonnet 4.6
- Listed as
- claude-sonnet-4-6_32K
- Conditions
- 32K budget
- Unit
- % correct
- Run date
- Feb 20, 2026
- 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-4-6_high83.3%
GPQA Diamond: 83.3%
- Model
- Claude Sonnet 4.6
- Listed as
- claude-sonnet-4-6_high
- Conditions
- High
- Unit
- % correct
- Run date
- Jul 13, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- Listed as claude-sonnet-4-6_medium83.3%
GPQA Diamond: 83.3%
- Model
- Claude Sonnet 4.6
- Listed as
- claude-sonnet-4-6_medium
- Conditions
- Medium
- Unit
- % correct
- Run date
- Jul 13, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- Listed as claude-sonnet-4-6_max78.8%
GPQA Diamond: 78.8%
- Model
- Claude Sonnet 4.6
- Listed as
- claude-sonnet-4-6_max
- Conditions
- Max
- Unit
- % correct
- Run date
- Aug 6, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- SimpleQA VerifiedKnowledge · Epoch AI35.5%
SimpleQA Verified: 35.5%
- Model
- Claude Sonnet 4.6
- Listed as
- claude-sonnet-4-6_high
- Conditions
- High
- Unit
- % correct
- Run date
- Aug 10, 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-4-6_max32.8%
SimpleQA Verified: 32.8%
- Model
- Claude Sonnet 4.6
- Listed as
- claude-sonnet-4-6_max
- Conditions
- Max
- Unit
- % correct
- Run date
- Aug 27, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- SWE-bench VerifiedHistory · Epoch AI75.2%
SWE-bench Verified: 75.2%
- Model
- Claude Sonnet 4.6
- Listed as
- claude-sonnet-4-6
- Conditions
- Not reported
- Unit
- % resolved
- Run date
- Feb 21, 2026
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Rank #14 of 32 matched modelsNo conditions reportedRun date Feb 21, 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
- $0.56
- Est. per 1M tokens
94% 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 94% of Claude Sonnet 4.6 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 $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 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-4-6$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 - Amazon Bedrock
anthropic.claude-sonnet-4-6$3.30 input per 1M tokens$16.50 output per 1M tokens$0.33 cache read per 1M tokens$4.13 cache write per 1M tokens1M tokens of context - Vertex
claude-sonnet-4-6@default$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 - Vertex (Anthropic)
claude-sonnet-4-6@default$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
Show 3 more providersShow fewer providers
- Azure
claude-sonnet-4-6$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 - OpenRouter
anthropic/claude-sonnet-4.6$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-4.6$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
- 1M tokens
- Max output
- 128K tokens
- Input
- Text, Image, PDF
- Output
- Text
- Knowledge cutoff
- Aug 31, 2025
- Release date
- Feb 17, 2026
- Open weights
- No
- Reasoning
- Yes
- Tool calling
- Yes
Top public profiles
Public profiles that used Claude Sonnet 4.6 most in this period, by tokens. Hidden accounts are never listed.
- 1
曹亚文@bobcyw2.2Btokens$1Kest. cost6active days$1K est. cost · 6 active days
- 2
Milad Safdari@Eulex0x1.6Btokens$770est. cost13active days$770 est. cost · 13 active days
- 3
Koala@koalaauto624Mtokens$331est. cost6active days$331 est. cost · 6 active days
- 4
YeonGyu-Kim@code-yeongyu163Mtokens$196est. cost5active days$196 est. cost · 5 active days
- 5
LJM@lee98www148.9Mtokens$57est. cost5active days$57 est. cost · 5 active days
- 6
JB Jeon@PepperJeon99.6Mtokens$55est. cost7active days$55 est. cost · 7 active days
- 7
Kaan Aricioglu@kaanarici92.1Mtokens$56est. cost12active days$56 est. cost · 12 active days
- 8
Jelloeater@Jelloeater73.4Mtokens$229est. cost14active days$229 est. cost · 14 active days
- 9
Daniel@daniel-diao69Mtokens$34est. cost3active days$34 est. cost · 3 active days
- 10
mikedoesgithub@mikedoesgithub34.4Mtokens$25est. cost2active days$25 est. cost · 2 active days
More from Anthropic
Other Anthropic models in the same period, by active users.
- Claude Opus 5.574% adoption713active users
- Claude Sonnet 5.558% adoption558active users
- Claude Haiku 5.550% adoption479active users
- Claude Fable 5.138% adoption362active users
- Claude Opus 4.823% adoption222active users
- Claude Fable 5.220% adoption192active 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.