Instruction following · OpenRouter

Fusion Turbo on IFEval: score, rank and what it means

Fusion Turbo scores 80.5 on IFEval, placing it #320 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.

Score
80.5
0–100 scale
Rank
#320
of 600
Percentile
47th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
15.6
points

Score distribution

The chart shows the top 10 models on IFEval, with Fusion Turbo highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
8 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 o4 Reasoning OpenAI 1000000 $19.69 87.5

What this score means

On IFEval, Fusion Turbo sits at #320 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 15.6 points. The median model in this index scores 81.2, which puts Fusion Turbo below the midpoint.

OpenRouter models average 77.2 on this benchmark. Fusion Turbo is 3.3 points above that provider line, so it is a stronger result than the average OpenRouter model.

Among mid-range models, the average is 76.5. Fusion Turbo is 4.0 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 80.5 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 $8.55 per million input tokens, Fusion Turbo is above the median input price of $4.00 across the 600 models scored on IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3 Lambda Chat Lambda 32768 $3.73 74.7
Auto Pro OpenRouter 8192 $8.41 71.2
Auto Turbo OpenRouter 65536 $7.96 70.9
Grok 4 Nano xAI 16384 $8.97 72.7
Fusion Turbo OpenRouter 8192 $8.55 71.7
Mixtral Chat Mistral AI 65536 $3.30 72.6
GPT-5.2 Nano OpenAI 128000 $9.73 73.5

Other benchmarks for Fusion Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.0 307 49th
GPQA Diamond 67.3 324 46th
SWE-bench Verified 58.3 349 42th
HumanEval 76.2 324 46th
MATH-500 77.8 261 57th
AIME 2025 64.0 355 41th
LiveCodeBench 60.4 362 40th
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 IFEval?

Fusion Turbo scores 80.5 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Fusion Turbo rank on IFEval?

It ranks #320 of 600 models, in the 47th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Fusion Turbo good at IFEval?

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 IFEval score calculated?

IFEval is a instruction following 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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