Coding · OpenRouter

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

Fusion Turbo scores 60.4 on LiveCodeBench, placing it #362 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.

Score
60.4
0–100 scale
Rank
#362
of 600
Percentile
40th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
24.7
points

Score distribution

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

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
2 Grok 4 Reasoning xAI 2000000 $19.67 87.8
3 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 Grok 4 Turbo xAI 1000000 $19.21 86.7
6 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
7 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
8 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
9 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On LiveCodeBench, Fusion Turbo sits at #362 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 24.7 points. The median model in this index scores 64.7, which puts Fusion Turbo below the midpoint.

OpenRouter models average 58.5 on this benchmark. Fusion Turbo 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 58.3. Fusion Turbo is 2.1 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 60.4 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 $8.55 per million input tokens, Fusion Turbo is above the median input price of $4.00 across the 600 models scored on LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Mixtral Turbo Instruct Together AI 32768 $3.16 71.9
Claude Sonnet 4.5 Nano Anthropic 8192 $8.93 72.0
Arctic Base Snowflake 32768 $2.27 67.5
Yi-Large Base 01.AI 16384 $2.78 70.3
Fusion Turbo OpenRouter 8192 $8.55 71.7
Llama 3 Novita Base Novita AI 8192 $3.06 70.3
Gemini 3 Flash Nano Google DeepMind 32768 $7.56 69.4

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
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 LiveCodeBench?

Fusion Turbo scores 60.4 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Fusion Turbo rank on LiveCodeBench?

It ranks #362 of 600 models, in the 40th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Fusion Turbo good at LiveCodeBench?

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 LiveCodeBench score calculated?

LiveCodeBench 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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