Coding · Anthropic

Claude Haiku 4.5 Nano on SWE-bench Verified: score, rank and what it means

Claude Haiku 4.5 Nano scores 56.9 on SWE-bench Verified, placing it #367 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
56.9
0–100 scale
Rank
#367
of 600
Percentile
39th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
24.8
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Claude Haiku 4.5 Nano highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 81.7
Claude Opus 4.5 Pro 81.1
GPT-5.2 Max 80.5
Claude Sonnet 4.5 Max 80.2
GPT-5.2 80.2
GPT-5.1 Pro 80.1
o4 Max 79.8
Claude Sonnet 4.5 Reasoning 79.6
Claude Opus 4.5 Max 79.5
Claude Opus 4.5 Reasoning 79.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
3 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
4 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2
5 GPT-5.2 OpenAI 2000000 $19.71 88.0
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 o4 Max OpenAI 2000000 $19.51 86.2
8 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On SWE-bench Verified, Claude Haiku 4.5 Nano sits at #367 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 24.8 points. The median model in this index scores 61.0, which puts Claude Haiku 4.5 Nano below the midpoint.

Anthropic models average 71.0 on this benchmark. Claude Haiku 4.5 Nano is 14.1 points below that provider line, so it is a weaker result than the average Anthropic model.

Among mid-range models, the average is 54.9. Claude Haiku 4.5 Nano is 2.0 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 56.9 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.

Price context

At $6.47 per million input tokens, Claude Haiku 4.5 Nano is above the median input price of $4.00 across the 600 models scored on SWE-bench Verified. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
OLMo 2 Allen Institute for AI 65536 $2.99 71.0
Molmo Instruct Allen Institute for AI 32768 $2.53 68.3
Auto Turbo OpenRouter 65536 $7.96 70.9
Fusion Pro OpenRouter 65536 $8.69 72.2
Claude Haiku 4.5 Nano Anthropic 8192 $6.47 68.7
Llama 3 Novita Base Novita AI 8192 $3.06 70.3
Sonar Mini Perplexity 65536 $6.52 67.9

Other benchmarks for Claude Haiku 4.5 Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 73.9 355 41th
GPQA Diamond 64.5 369 39th
HumanEval 71.0 388 35th
MATH-500 71.8 369 39th
AIME 2025 63.5 361 40th
LiveCodeBench 59.8 369 39th
IFEval 78.2 363 40th
TruthfulQA 71.6 385 36th
HellaSwag 80.5 378 37th
MMMU 64.3 386 36th
Arena Elo 1332.1 385 36th

FAQ

What score does Claude Haiku 4.5 Nano get on SWE-bench Verified?

Claude Haiku 4.5 Nano scores 56.9 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Claude Haiku 4.5 Nano rank on SWE-bench Verified?

It ranks #367 of 600 models, in the 39th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Claude Haiku 4.5 Nano good at SWE-bench Verified?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. The result should be read alongside its price and context window.

How is the SWE-bench Verified score calculated?

SWE-bench Verified is a coding benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.

What does Claude Haiku 4.5 Nano cost?

Claude Haiku 4.5 Nano costs $6.47 per million input tokens and $27.98 per million output tokens.

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