Claude Haiku 4.5
AnthropicKey claude-haiku-4-5Also reported as claude-haiku-4-5-20251001, anthropic/claude-haiku-4-5, router_client:claude/claude-haiku-4-5-20251001, cc/claude-haiku-4-5, claude-haiku-4.5, claude haiku 4-5, geraikita/gk/claude-haiku-4-5, anthropic/claude-4-5-haiku, router_client:unknown/claude-haiku-4-5-20251001, github-copilot/claude-haiku-4-5, gh/claude-haiku-4-5, kr/claude-haiku-4-5, anthropic/claude-haiku-4.5, enowxai/claude-haiku-4-5, copilot/claude-haiku-4-5, claude/claude-haiku-4-5, devin/claude-haiku-4-5, openrouter/anthropic/claude-haiku-4-5, gk/claude-haiku-4-5, cliproxyapi/claude-haiku-4-5
- Rank
- #25
- by active users
- Active users
- 102
- Down 329 from 431 active users in the previous 30 days. vs previous 30 days
- Adoption
- 11%
- of 961 accounts
- Tokens
- 6.6B
- cache included
- Est. cost
- $2.7K
- at public list prices
- First seen
- Jan 2, 2025
- in any submission
Oct 14 – Nov 12, 2026 (UTC)961 accounts100% of tokens from an identified modelData through Nov 12, 2026, 06:48 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 | 37 | 171.4M |
| Oct 15, 2026 | 29 | 198.1M |
| Oct 16, 2026 | 21 | 17.7M |
| Oct 17, 2026 | 20 | 23.2M |
| Oct 18, 2026 | 19 | 24.5M |
| Oct 19, 2026 | 20 | 49.8M |
| Oct 20, 2026 | 16 | 45.5M |
| Oct 21, 2026 | 24 | 65.7M |
| Oct 22, 2026 | 23 | 147.9M |
| Oct 23, 2026 | 25 | 180.8M |
| Oct 24, 2026 | 13 | 282.8M |
| Oct 25, 2026 | 11 | 459.7M |
| Oct 26, 2026 | 19 | 355.1M |
| Oct 27, 2026 | 14 | 231.4M |
| Oct 28, 2026 | 18 | 220.1M |
| Oct 29, 2026 | 13 | 444.3M |
| Oct 30, 2026 | 14 | 275.9M |
| Oct 31, 2026 | 12 | 162.7M |
| Nov 1, 2026 | 13 | 163.5M |
| Nov 2, 2026 | 16 | 121.7M |
| Nov 3, 2026 | 17 | 147.4M |
| Nov 4, 2026 | 17 | 351.3M |
| Nov 5, 2026 | 17 | 436.7M |
| Nov 6, 2026 | 17 | 542.3M |
| Nov 7, 2026 | 13 | 418M |
| Nov 8, 2026 | 15 | 373M |
| Nov 9, 2026 | 13 | 343.7M |
| Nov 10, 2026 | 12 | 285.4M |
| Nov 11, 2026 | 10 | 103.3M |
| Nov 12, 2026 | 2 | 1.5M |
Token mix
How the 6.6B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.
- Input0.9%
- Output0.9%
- Cache read84%
- Cache write15%
- Reasoning<0.1%
Agents that carry Claude Haiku 4.5
Each agent's share of this model's tokens, and how many accounts used the model through it.
Claude Code98% of this model's tokens85active users
OpenCode0.9% of this model's tokens8active users
Senpi (OmO Native)0.5% of this model's tokens7active users
Aside0.1% of this model's tokens1active users
Copilot<0.1% of this model's tokens2active users
OpenClaw<0.1% of this model's tokens1active users
Oh My Pi<0.1% of this model's tokens2active users
Pi<0.1% of this model's tokens3active users
Junie<0.1% of this model's tokens3active users
DeepSeek Harness<0.1% of this model's tokens1active users- cc-mirror/mozilla<0.1% of this model's tokens1active users
- cc-mirror/curl<0.1% of this model's tokens1active users
Benchmarks
The best result for Claude Haiku 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 AI142.8
Epoch Capabilities Index: 142.8
- Model
- Claude Haiku 4.5
- Listed as
- Claude Haiku 4.5
- Conditions
- Not reported
- Interval
- 141.1–144.5
- Unit
- ECI
- Model released
- Oct 15, 2025
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Rank #103 of 158 matched modelsNo conditions reportedModel released Oct 15, 2025Source: epoch.ai (opens in a new tab) - WebDev ArenaWeb development · LMArena1,330
WebDev Arena: 1,330
- Model
- Claude Haiku 4.5
- Listed as
- Claude Haiku 4.5 (20251001)
- Conditions
- Not reported
- Interval
- 1325–1335
- 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 #95 of 110 matched modelsNo conditions reportedPublished Oct 19, 2026Source: huggingface.co (opens in a new tab) - GPQA DiamondReasoning · Epoch AI71.2%
GPQA Diamond: 71.2%
- Model
- Claude Haiku 4.5
- Listed as
- claude-haiku-4-5-20251001_32K
- Conditions
- 32K budget
- Unit
- % correct
- Run date
- Oct 22, 2025
- Retrieved
- Nov 12, 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 96.5%, 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-haiku-4-5-2025100160.5%
GPQA Diamond: 60.5%
- Model
- Claude Haiku 4.5
- Listed as
- claude-haiku-4-5-20251001
- Conditions
- Not reported
- Unit
- % correct
- Run date
- Oct 16, 2025
- Retrieved
- Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
- SimpleQA VerifiedKnowledge · Epoch AI13.2%
SimpleQA Verified: 13.2%
- Model
- Claude Haiku 4.5
- Listed as
- claude-haiku-4-5-20251001
- Conditions
- Not reported
- 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)
Rank #80 of 86 matched modelsNo conditions reportedRun date Aug 10, 2026Source: epoch.ai (opens in a new tab)Show 1 more result with other run conditionsHide the other results
- Listed as claude-haiku-4-5-20251001_32K12.6%
SimpleQA Verified: 12.6%
- Model
- Claude Haiku 4.5
- Listed as
- claude-haiku-4-5-20251001_32K
- Conditions
- 32K budget
- Unit
- % correct
- Run date
- Aug 27, 2026
- Retrieved
- Nov 12, 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 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
- $0.32
- Est. per 1M tokens
84% cache reads - At the community mix
- $0.15
- Est. per 1M tokens
96% cache reads - 3:1 input/output blend
- $2
- Per 1M tokens at list prices
No cache
Cache reads were 84% of Claude Haiku 4.5 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 $1, output $5, cache read $0.10, cache write $1.25.
- 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-haiku-4-5$1 input per 1M tokens$5 output per 1M tokens$0.10 cache read per 1M tokens$1.25 cache write per 1M tokens200K tokens of context - Amazon Bedrock
anthropic.claude-haiku-4-5-20251001-v1:0$1 input per 1M tokens$5 output per 1M tokens$0.10 cache read per 1M tokens$1.25 cache write per 1M tokens200K tokens of context - Vertex
claude-haiku-4-5@20251001$1 input per 1M tokens$5 output per 1M tokens$0.10 cache read per 1M tokens$1.25 cache write per 1M tokens200K tokens of context - Vertex (Anthropic)
claude-haiku-4-5@20251001$1 input per 1M tokens$5 output per 1M tokens$0.10 cache read per 1M tokens$1.25 cache write per 1M tokens200K tokens of context
Show 2 more providersShow fewer providers
- OpenRouter
anthropic/claude-haiku-4.5$1 input per 1M tokens$5 output per 1M tokens$0.10 cache read per 1M tokens$1.25 cache write per 1M tokens200K tokens of context - Vercel AI Gateway
anthropic/claude-haiku-4.5$1 input per 1M tokens$5 output per 1M tokens$0.10 cache read per 1M tokens$1.25 cache write per 1M tokens200K 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
- Feb 28, 2025
- Release date
- Oct 15, 2025
- Open weights
- No
- Reasoning
- Yes
- Tool calling
- Yes
Top public profiles
Public profiles that used Claude Haiku 4.5 most in this period, by tokens. Hidden accounts are never listed.
- 1
registered2nd@registered2nd4.1Btokens$1.7Kest. cost29active days$1.7K est. cost · 29 active days
- 2
Komal Vardhan Lolugu@KomalSrinivasan1Btokens$330est. cost21active days$330 est. cost · 21 active days
- 3
Bulo@BuloZB346.4Mtokens$104est. cost8active days$104 est. cost · 8 active days
- 4
leko@lekoOwO193Mtokens$40est. cost13active days$40 est. cost · 13 active days
- 5
kil-penguin@kilhyeonjun110Mtokens$19est. cost8active days$19 est. cost · 8 active days
- 6
seoyoung@b1ueseoyoung86.9Mtokens$33est. cost6active days$33 est. cost · 6 active days
- 7
cmj1203@cmj120383.9Mtokens$52est. cost3active days$52 est. cost · 3 active days
- 8
ManzJoozy@JTZ1883.6Mtokens$17est. cost9active days$17 est. cost · 9 active days
- 9
Jonathannkayy@Jonathannkayy64.9Mtokens$29est. cost23active days$29 est. cost · 23 active days
- 10
hanukoon@cokia59.4Mtokens$60est. cost16active days$60 est. cost · 16 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% adoption557active 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.