Preference · Fireworks AI

Firefunction Nano on Arena Elo: score, rank and what it means

Firefunction Nano scores 1265.6 on Arena Elo, placing it #467 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1265.6
0–100 scale
Rank
#467
of 600
Percentile
22th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
236.3
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Firefunction Nano highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, Firefunction Nano sits at #467 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 236.3 points. The median model in this index scores 1373.8, which puts Firefunction Nano below the midpoint.

Fireworks AI models average 1333.5 on this benchmark. Firefunction Nano is 68.0 points below that provider line, so it is a weaker result than the average Fireworks AI model.

Among mid-range models, the average is 1332.0. Firefunction Nano is 66.4 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 1265.6 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 $3.07 per million input tokens, Firefunction Nano is below the median input price of $4.00 across the 600 models scored on Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3 Baseten 8B Baseten 4096 $1.02 57.0
Reka Flash Nano Reka AI 16384 $3.93 61.0
Seed-OSS 8B ByteDance 8192 $1.05 57.1
Llama 4 Scout 8B Meta AI 8192 $1.46 61.2
Firefunction Nano Fireworks AI 16384 $3.07 58.1
Llama 4 Scout 7B Meta AI 32768 $1.30 60.0
Magistral 7B Mistral AI 32768 $1.22 58.9

Other benchmarks for Firefunction Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 64.0 470 22th
GPQA Diamond 52.5 494 18th
SWE-bench Verified 42.3 499 17th
HumanEval 62.4 464 23th
MATH-500 61.3 450 25th
AIME 2025 45.3 496 17th
LiveCodeBench 46.9 476 21th
IFEval 69.4 469 22th
TruthfulQA 65.5 453 25th
HellaSwag 73.8 458 24th
MMMU 56.1 486 19th

FAQ

What score does Firefunction Nano get on Arena Elo?

Firefunction Nano scores 1265.6 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Firefunction Nano rank on Arena Elo?

It ranks #467 of 600 models, in the 22nd percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Firefunction Nano good at Arena Elo?

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 Arena Elo score calculated?

Arena Elo is a preference 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 Firefunction Nano cost?

Firefunction Nano costs $3.07 per million input tokens and $12.50 per million output tokens.

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