Coding · OpenRouter

Fusion Mini on SWE-bench Verified: score, rank and what it means

Fusion Mini scores 47.5 on SWE-bench Verified, placing it #441 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
47.5
0–100 scale
Rank
#441
of 600
Percentile
27th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
34.2
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Fusion 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, Fusion Mini sits at #441 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 34.2 points. The median model in this index scores 61.0, which puts Fusion Mini below the midpoint.

OpenRouter models average 55.2 on this benchmark. Fusion Mini is 7.7 points below that provider line, so it is a weaker result than the average OpenRouter model.

Among mid-range models, the average is 54.9. Fusion Mini is 7.4 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 47.5 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 $4.89 per million input tokens, Fusion 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
GPT-NeoX Base EleutherAI 16384 $1.22 59.7
Magistral 8B Mistral AI 4096 $1.33 60.0
Nova Lite Nano Amazon 8192 $3.29 59.5
GPT-NeoX Chat EleutherAI 16384 $1.49 60.1
Fusion Mini OpenRouter 4096 $4.89 63.3
SmolLM3 Chat Hugging Face 16384 $1.61 62.1
QwQ 8B Alibaba Cloud 16384 $1.37 59.5

Other benchmarks for Fusion Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 66.5 430 28th
GPQA Diamond 59.3 409 32th
HumanEval 67.2 419 30th
MATH-500 63.4 432 28th
AIME 2025 56.6 406 32th
LiveCodeBench 51.8 431 28th
IFEval 73.4 412 31th
TruthfulQA 70.1 398 34th
HellaSwag 77.5 407 32th
MMMU 63.5 396 34th
Arena Elo 1312.2 403 33th

FAQ

What score does Fusion Mini get on SWE-bench Verified?

Fusion Mini scores 47.5 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Fusion Mini rank on SWE-bench Verified?

It ranks #441 of 600 models, in the 27th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Fusion 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 Fusion Mini cost?

Fusion Mini costs $4.89 per million input tokens and $22.97 per million output tokens.

Related