Coding · Anthropic

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

Claude Haiku 4.5 Turbo scores 68.4 on SWE-bench Verified, placing it #135 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
68.4
0–100 scale
Rank
#135
of 600
Percentile
78th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
13.3
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Claude Haiku 4.5 Turbo 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 Turbo sits at #135 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 13.3 points. The median model in this index scores 61.0, which puts Claude Haiku 4.5 Turbo above the midpoint.

Anthropic models average 71.0 on this benchmark. Claude Haiku 4.5 Turbo is 2.6 points below that provider line, so it is a weaker result than the average Anthropic model.

Among multimodal models, the average is 66.4. Claude Haiku 4.5 Turbo 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 68.4 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 $14.37 per million input tokens, Claude Haiku 4.5 Turbo 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
ERNIE 4.5 Max Baidu 128000 $14.41 80.6
Sonar Pro Perplexity 128000 $13.01 79.1
Qwen3 Chat Alibaba Cloud 128000 $4.75 79.1
Qwen3 Instruct Alibaba Cloud 1000000 $5.06 79.8
Claude Haiku 4.5 Turbo Anthropic 200000 $14.37 80.0
DeepSeek-Coder DeepSeek 32768 $4.55 78.1
Llama 3.1 Turbo Instruct Together AI 32768 $4.21 76.7

Other benchmarks for Claude Haiku 4.5 Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.6 161 73th
GPQA Diamond 75.1 140 77th
HumanEval 87.0 86 86th
MATH-500 83.7 132 78th
AIME 2025 79.2 98 84th
LiveCodeBench 71.7 153 75th
IFEval 87.1 128 79th
TruthfulQA 81.0 155 74th
HellaSwag 88.1 136 77th
MMMU 77.7 101 83th
Arena Elo 1434.5 109 82th

FAQ

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

Claude Haiku 4.5 Turbo scores 68.4 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 Turbo rank on SWE-bench Verified?

It ranks #135 of 600 models, in the 78th percentile. The leader is GPT-5.2 Pro at 81.7.

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

Yes, relative to the index: it is above the median and inside the top half of scores. 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 Turbo cost?

Claude Haiku 4.5 Turbo costs $14.37 per million input tokens and $54.76 per million output tokens.

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