Coding · OpenRouter

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

Fusion Pro scores 57.1 on SWE-bench Verified, placing it #366 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
57.1
0–100 scale
Rank
#366
of 600
Percentile
39th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
24.6
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Fusion Pro 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 Pro sits at #366 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 24.6 points. The median model in this index scores 61.0, which puts Fusion Pro below the midpoint.

OpenRouter models average 55.2 on this benchmark. Fusion Pro is 1.9 points above that provider line, so it is a stronger result than the average OpenRouter model.

Among mid-range models, the average is 54.9. Fusion Pro is 2.2 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 57.1 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 $8.69 per million input tokens, Fusion Pro 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
Firesearch Turbo Fireworks AI 16384 $7.58 69.3
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

Other benchmarks for Fusion Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 75.7 312 48th
GPQA Diamond 67.6 319 47th
HumanEval 78.5 279 54th
MATH-500 74.1 345 43th
AIME 2025 67.3 308 49th
LiveCodeBench 63.9 322 46th
IFEval 82.1 271 55th
TruthfulQA 73.2 366 39th
HellaSwag 83.5 303 50th
MMMU 71.4 262 56th
Arena Elo 1375.8 289 52th

FAQ

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

Fusion Pro scores 57.1 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Fusion Pro rank on SWE-bench Verified?

It ranks #366 of 600 models, in the 39th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Fusion Pro 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 Pro cost?

Fusion Pro costs $8.69 per million input tokens and $46.67 per million output tokens.

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