Anthropic, released Oct 22, 2024

Claude Haiku 3.5price, context, benchmarks and release details

Provisional: not enough results to rank yet 100% confidence 100 percent, Full confidence, 4 of 6 expected sources in
40.8
SI Score
#125 of 142 ranked models
Input, per 1M tokens
$0.80Anthropic API pricingOfficial Claude API base tokens; lowest short-context global Standard rate; cache, batch, fast and regional premiums excluded Retrieved Oct 9, 2026 · factual citation
Open source ↗
Output, per 1M tokens
$4.00Anthropic API pricingOfficial Claude API base tokens; lowest short-context global Standard rate; cache, batch, fast and regional premiums excluded Retrieved Oct 9, 2026 · factual citation
Open source ↗
Context window
200Kmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗
Max output
8.2Kmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗
Released
Oct 22, 2024models.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗

How the score breaks down

Coding (weight 40 percent) 34.3
Math (weight 15 percent) 32.3
Preference (weight 15 percent) 56.9
Reasoning (weight 30 percent) 38.1

Weights: reasoning 30%, math 15%, coding 40%, preference 15%. Results use fixed 0–100 scales before averaging, and thin evidence is pulled toward 50. Method si-v3-retained-evidence-2, computed Oct 9, 2026, 05:13 UTC.

Around it on the leaderboard

  1. 123 o3-mini 41.6
  2. 124 GPT-4.1 41.5
  3. 125 Claude Haiku 3.5 40.8
  4. 126 Claude Haiku 3 39.9
  5. 127 Qwen2.5-Coder-32B-Instruct 39.6

Full leaderboard

Benchmark results

6 benchmarks, 6 results

Each row shows the best published result. Where a model was tested at several settings, such as reasoning effort, open the row to see each one. Hover or tap a value for its source.

GPQA Diamondreasoning 38.1%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Mar 12, 2025 Retrieved Oct 9, 2026 · CC-BY
Open source ↗
38.1
MATH Level 5math 46.4%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Mar 12, 2025 Retrieved Oct 9, 2026 · CC-BY
Open source ↗
46.4
OTIS Mock AIME 2024–2025math 4.3%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Feb 25, 2025 Retrieved Oct 9, 2026 · CC-BY
Open source ↗
4.3
Aider Polyglotcoding 28%Aider polyglotPublished source fact [variant] Aider polyglot; 225 cases; 2 attemptsPublished Dec 21, 2024 Retrieved Oct 9, 2026 · Apache-2.0
Open source ↗
28.0
SWE-bench Verifiedcoding 40.6%SWE-bench VerifiedSWE-bench published model plus agent result; harness retained, not a base model evaluation [variant] ToolsPublished Oct 22, 2024 Retrieved Oct 9, 2026 · factual citation
Open source ↗
40.6
LMArena Textpreference 1255.4 eloLMArena / ArenaPublished source fact [variant] text / overallPublished Oct 8, 2026 Retrieved Oct 9, 2026 · CC-BY-4.0
Open source ↗
56.9

Normalization uses a fixed 0–100 scale for each unit, independent of other models. Compare evaluation conditions before reading a small gap as decisive. “Lab-reported” marks the provider's own published figure.

Details and sources

Open weights
Nomodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗
License
not yet reported
Input modalities
text, image, pdfmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗
First seen by SuperIndex
Oct 8, 2026
Coverage
80% of expected source weight

Reported (4)

  • Aider polyglotOct 8, 2026
  • Epoch AI BenchmarkingOct 8, 2026
  • LMArena / ArenaOct 8, 2026
  • SWE-bench VerifiedOct 8, 2026

Awaiting (2)

  • Official model cards via models.dev5% of weight
  • LiveBench15% of weight

Confidence rises as pending sources publish. Some sources never cover some models, so confidence reaches 100% at 80% of expected weight.

What changed

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