Coding · OpenRouter

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

Fusion Turbo scores 58.3 on SWE-bench Verified, placing it #349 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
58.3
0–100 scale
Rank
#349
of 600
Percentile
42th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
23.4
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Fusion 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, Fusion Turbo sits at #349 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 23.4 points. The median model in this index scores 61.0, which puts Fusion Turbo below the midpoint.

OpenRouter models average 55.2 on this benchmark. Fusion Turbo is 3.1 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 Turbo is 3.4 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 58.3 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 $8.55 per million input tokens, Fusion 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
Auto Max OpenRouter 8192 $8.41 71.2
DBRX Instruct Databricks 8192 $3.21 72.4
Llama 3.1 Cerebras Base Cerebras 65536 $3.36 72.7
Arctic Instruct Snowflake 65536 $2.83 70.6
Fusion Turbo OpenRouter 8192 $8.55 71.7
Llama 3 Anyscale Base Anyscale 65536 $3.23 72.9
Firefunction Reasoning Fireworks AI 8192 $9.08 72.5

Other benchmarks for Fusion Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.0 307 49th
GPQA Diamond 67.3 324 46th
HumanEval 76.2 324 46th
MATH-500 77.8 261 57th
AIME 2025 64.0 355 41th
LiveCodeBench 60.4 362 40th
IFEval 80.5 320 47th
TruthfulQA 74.5 340 43th
HellaSwag 82.4 339 44th
MMMU 71.1 270 55th
Arena Elo 1368.7 323 46th

FAQ

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

Fusion Turbo scores 58.3 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Fusion Turbo rank on SWE-bench Verified?

It ranks #349 of 600 models, in the 42nd percentile. The leader is GPT-5.2 Pro at 81.7.

Is Fusion Turbo 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 Turbo cost?

Fusion Turbo costs $8.55 per million input tokens and $40.27 per million output tokens.

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