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Claude Haiku 4.5

by Anthropic · Released Oct 2025

Multimodal
35.9
avg score
Rank #220
Compare
Better than 29% of all models
Context
200K tokens (~100 books)
Input $/1M
$1.00
Output $/1M
$5.00
Type
multimodal
License
Proprietary
Benchmarks
17 tested
Data as of
About

Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...

Tested on 17 benchmarks · BenchGecko score 35.9. Top scores: MATH level 5 (96.4%), OTIS Mock AIME 2024-2025 (66.6%), GPQA diamond (61.6%).

Looking for similar performance at lower cost?
Qwen3 8B scores 36.3 (101% as good) at $0.12/1M input · 88% cheaper
Capabilities
coding
40.5
#133 globally
reasoning
25.9
#135 globally
math
43.9
#142 globally
knowledge
29.5
#242 globally
agentic
8.9
#58 globally
general
35.4
#101 globally
Benchmark Scores
Compare All
Tested on 17 benchmarks · Ranked across 6 categories
Score Distribution (all 312 models)
0255075100
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WeirdML

Unusual and adversarial machine learning challenges. Tests robustness of reasoning about edge cases in ML systems.

45.4·
Terminal Bench

Complex terminal-based engineering tasks. Models must use command-line tools, navigate filesystems, and debug systems through shell interaction.

35.5·
ARC-AGI

Abstraction and Reasoning Corpus. Tests fluid intelligence through novel visual pattern recognition puzzles. Core measure of general intelligence.

47.7·
ARC-AGI-2

ARC-AGI 2, harder sequel to ARC. More complex abstract reasoning patterns that test generalization ability beyond training data.

4.0·
MATH level 5

Competition-level math from AMC, AIME, and olympiad problems. Level 5 is the hardest tier, requiring creative problem-solving.

96.4·
OTIS Mock AIME 2024-2025

Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.

66.6·
FrontierMath-2025-02-28-Private

Original research-level math problems created by professional mathematicians. Problems are unpublished and cannot be memorized.

10.4·
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Documentation
Community
BenchGecko API
claude-haiku-4-5
Specifications
  • Typemultimodal
  • Context200K tokens (~100 books)
  • ReleasedOct 2025
  • LicenseProprietary
  • StatusActive
  • Cost / Message~$0.007
Available On
Anthropic logoAnthropic$1.00
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Claude Haiku 4.5 is a proprietary multimodal AI model by Anthropic, released in October 2025. It has an average benchmark score of 35.9. Context window: 200K tokens.

Key facts · as of 2026-10-05

  • Claude Haiku 4.5 by Anthropic. BenchGecko score 35.9, rank 220 of 312 scored models (normalized average of public benchmark scores).
  • List price $1.00 input · $5.00 output per 1M tokens (as of 2026-10-05).
  • Sold by 8 providers (as of 2026-10-05): Amazon Bedrock $1.00 in / $5.00 out · Anthropic $1.00 in / $5.00 out · Azure $1.00 in / $5.00 out · Google $1.00 in / $5.00 out · Amazon Bedrock $1.10 in / $5.50 out · and 3 more. Every provider

How to cite · data as of 2026-10-05

Claude Haiku 4.5 · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/claude-haiku-4-5

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP