Coding · Anthropic

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

Claude Haiku 4.5 Mini scores 60.0 on SWE-bench Verified, placing it #326 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
60.0
0–100 scale
Rank
#326
of 600
Percentile
46th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
21.7
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Claude Haiku 4.5 Mini 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 Mini sits at #326 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 21.7 points. The median model in this index scores 61.0, which puts Claude Haiku 4.5 Mini below the midpoint.

Anthropic models average 71.0 on this benchmark. Claude Haiku 4.5 Mini is 11.0 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 Mini is 5.1 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 60.0 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 $8.76 per million input tokens, Claude Haiku 4.5 Mini 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
Nova Lite Max Amazon 200000 $9.79 73.4
Llama 3 DeepInfra DeepInfra 128000 $3.67 74.0
DBRX Databricks 65536 $3.29 73.3
Llama 3 Modal Base Modal 16384 $3.21 72.2
Claude Haiku 4.5 Mini Anthropic 16384 $8.76 71.6
DBRX Chat Databricks 65536 $3.07 71.7
Gemma 3 Google DeepMind 65536 $3.68 73.6

Other benchmarks for Claude Haiku 4.5 Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.0 275 54th
GPQA Diamond 66.1 341 43th
HumanEval 76.3 323 46th
MATH-500 73.7 351 42th
AIME 2025 67.1 311 48th
LiveCodeBench 62.3 346 42th
IFEval 82.3 263 56th
TruthfulQA 75.5 319 47th
HellaSwag 81.2 361 40th
MMMU 66.6 362 40th
Arena Elo 1370.3 315 48th

FAQ

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

Claude Haiku 4.5 Mini scores 60.0 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 Mini rank on SWE-bench Verified?

It ranks #326 of 600 models, in the 46th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Claude Haiku 4.5 Mini 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 Mini cost?

Claude Haiku 4.5 Mini costs $8.76 per million input tokens and $34.31 per million output tokens.

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