Coding · OpenRouter

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

Fusion Nano scores 42.8 on LiveCodeBench, placing it #518 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
42.8
0–100 scale
Rank
#518
of 600
Percentile
14th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
42.3
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Fusion Nano 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 Nano sits at #518 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 42.3 points. The median model in this index scores 64.7, which puts Fusion Nano below the midpoint.

OpenRouter models average 58.5 on this benchmark. Fusion Nano is 15.8 points below that provider line, so it is a weaker result than the average OpenRouter model.

Among mid-range models, the average is 58.3. Fusion Nano is 15.5 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 42.8 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 $2.96 per million input tokens, Fusion Nano is below 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
Phi-4 7B Microsoft 8192 $0.91 56.8
Mixtral Groq 7B Groq 4096 $0.70 53.4
DeepSeek-R1 1.5B DeepSeek 16384 $1.04 56.6
Embed 4 Mini Cohere 4096 $2.48 55.8
Fusion Nano OpenRouter 8192 $2.96 56.8
Gemma 3 7B Google DeepMind 32768 $0.90 55.9
Yi-Large 7B 01.AI 4096 $0.83 55.0

Other benchmarks for Fusion Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 64.5 461 23th
GPQA Diamond 50.7 515 14th
SWE-bench Verified 41.8 501 17th
HumanEval 61.0 488 19th
MATH-500 59.7 468 22th
AIME 2025 45.4 495 18th
IFEval 66.5 510 15th
TruthfulQA 63.8 472 21th
HellaSwag 72.5 486 19th
MMMU 55.9 490 18th
Arena Elo 1263.0 470 22th

FAQ

What score does Fusion Nano get on LiveCodeBench?

Fusion Nano scores 42.8 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Fusion Nano rank on LiveCodeBench?

It ranks #518 of 600 models, in the 14th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Fusion Nano 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 Nano cost?

Fusion Nano costs $2.96 per million input tokens and $14.36 per million output tokens.

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