Preference · Fireworks AI

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

Firefunction Turbo scores 1356.4 on Arena Elo, placing it #352 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
1356.4
0–100 scale
Rank
#352
of 600
Percentile
41th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
145.5
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Firefunction Turbo 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 Turbo sits at #352 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 145.5 points. The median model in this index scores 1373.8, which puts Firefunction Turbo below the midpoint.

Fireworks AI models average 1333.5 on this benchmark. Firefunction Turbo is 22.9 points above that provider line, so it is a stronger result than the average Fireworks AI model.

Among mid-range models, the average is 1332.0. Firefunction Turbo is 24.4 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 1356.4 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 $8.44 per million input tokens, Firefunction Turbo is above 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
Fusion Reasoning OpenRouter 65536 $8.59 72.2
Firefunction Fireworks AI 16384 $8.16 72.3
Phi-3.5 Microsoft 16384 $2.81 70.9
Mixtral Turbo Instruct Together AI 32768 $3.16 71.9
Firefunction Turbo Fireworks AI 32768 $8.44 70.7
Auto Pro OpenRouter 8192 $8.41 71.2
Mixtral Turbo Base Together AI 32768 $2.53 69.7

Other benchmarks for Firefunction Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.9 335 44th
GPQA Diamond 67.4 322 46th
SWE-bench Verified 62.1 279 54th
HumanEval 73.3 367 39th
MATH-500 71.4 376 37th
AIME 2025 63.7 359 40th
LiveCodeBench 63.3 333 45th
IFEval 79.8 335 44th
TruthfulQA 74.3 348 42th
HellaSwag 81.9 349 42th
MMMU 66.1 371 38th

FAQ

What score does Firefunction Turbo get on Arena Elo?

Firefunction Turbo scores 1356.4 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Firefunction Turbo rank on Arena Elo?

It ranks #352 of 600 models, in the 41st percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Firefunction Turbo 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 Turbo cost?

Firefunction Turbo costs $8.44 per million input tokens and $36.83 per million output tokens.

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