Preference · Fireworks AI

Firesearch Pro on Arena Elo: score, rank and what it means

Firesearch Pro scores 1362.0 on Arena Elo, placing it #340 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
1362.0
0–100 scale
Rank
#340
of 600
Percentile
43th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
139.9
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Firesearch Pro 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, Firesearch Pro sits at #340 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 139.9 points. The median model in this index scores 1373.8, which puts Firesearch Pro below the midpoint.

Fireworks AI models average 1333.5 on this benchmark. Firesearch Pro is 28.5 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. Firesearch Pro is 30.0 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 1362.0 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 $7.67 per million input tokens, Firesearch Pro 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
Llama 3 Modal Base Modal 16384 $3.21 72.2
Mixtral Mistral AI 65536 $3.48 73.7
Mixtral Instruct Mistral AI 65536 $3.35 72.9
ERNIE 4.5 Mini Baidu 32768 $8.62 71.0
Firesearch Pro Fireworks AI 32768 $7.67 70.4
Firesearch Max Fireworks AI 8192 $7.80 69.9
Llama 3 Novita Base Novita AI 8192 $3.06 70.3

Other benchmarks for Firesearch Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 72.6 370 38th
GPQA Diamond 68.4 305 49th
SWE-bench Verified 59.8 330 45th
HumanEval 75.3 338 44th
MATH-500 70.2 384 36th
AIME 2025 61.0 382 36th
LiveCodeBench 63.9 320 47th
IFEval 80.1 331 45th
TruthfulQA 72.8 371 38th
HellaSwag 81.2 362 40th
MMMU 68.7 330 45th

FAQ

What score does Firesearch Pro get on Arena Elo?

Firesearch Pro scores 1362.0 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Firesearch Pro rank on Arena Elo?

It ranks #340 of 600 models, in the 43rd percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Firesearch Pro 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 Firesearch Pro cost?

Firesearch Pro costs $7.67 per million input tokens and $32.83 per million output tokens.

Related