Preference · Fireworks AI

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

Firesearch Mini scores 1280.3 on Arena Elo, placing it #445 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
1280.3
0–100 scale
Rank
#445
of 600
Percentile
26th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
221.6
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Firesearch Mini 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 Mini sits at #445 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 221.6 points. The median model in this index scores 1373.8, which puts Firesearch Mini below the midpoint.

Fireworks AI models average 1333.5 on this benchmark. Firesearch Mini is 53.2 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. Firesearch Mini is 51.7 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 1280.3 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 $3.94 per million input tokens, Firesearch Mini 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 4 Maverick 8B Meta AI 4096 $1.64 63.4
MiniMax-Text 8B MiniMax 4096 $1.22 59.5
Zephyr Chat Hugging Face 4096 $1.49 61.3
MiniMax-M2 7B MiniMax 8192 $1.44 60.8
Firesearch Mini Fireworks AI 32768 $3.94 61.5
SmolLM3 Base Hugging Face 16384 $1.38 60.4
Hunyuan-Large 8B Tencent 4096 $1.29 58.7

Other benchmarks for Firesearch Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 67.5 424 29th
GPQA Diamond 55.7 452 25th
SWE-bench Verified 48.8 432 28th
HumanEval 65.5 435 28th
MATH-500 59.6 471 22th
AIME 2025 50.8 453 25th
LiveCodeBench 50.9 440 27th
IFEval 72.8 420 30th
TruthfulQA 66.5 436 27th
HellaSwag 77.2 412 31th
MMMU 61.1 419 30th

FAQ

What score does Firesearch Mini get on Arena Elo?

Firesearch Mini scores 1280.3 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Firesearch Mini rank on Arena Elo?

It ranks #445 of 600 models, in the 26th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Firesearch Mini 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 Mini cost?

Firesearch Mini costs $3.94 per million input tokens and $16.76 per million output tokens.

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