Commonsense · Fireworks AI

Firefunction Mini on HellaSwag: score, rank and what it means

Firefunction Mini scores 75.8 on HellaSwag, placing it #429 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
75.8
0–100 scale
Rank
#429
of 600
Percentile
29th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
20.3
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Firefunction Mini highlighted. Longer bars mean higher scores.

GPT-5.2 Max 96.1
GPT-5.2 Turbo 95.5
GPT-5.2 Pro 95.3
Claude Opus 4.5 Pro 95.2
Claude Sonnet 4.5 Reasoning 95.2
Grok 4 Reasoning 95.2
GPT-5.2 Vision 94.6
Gemini 3 Pro Turbo 94.6
GPT-5.1 Reasoning 94.4
o4 Pro 94.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
8 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
9 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
10 o4 Pro OpenAI 1000000 $19.37 87.3

What this score means

On HellaSwag, Firefunction Mini sits at #429 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 20.3 points. The median model in this index scores 83.6, which puts Firefunction Mini below the midpoint.

Fireworks AI models average 80.3 on this benchmark. Firefunction Mini is 4.5 points below that provider line, so it is a weaker result than the average Fireworks AI model.

Among mid-range models, the average is 79.8. Firefunction Mini is 4.0 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 75.8 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 $4.63 per million input tokens, Firefunction Mini is above the median input price of $4.00 across the 600 models scored on HellaSwag. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
MiniMax-M2 8B MiniMax 32768 $1.65 61.7
Hunyuan-Turbo Nano Tencent 32768 $4.65 62.7
SmolLM3 Chat Hugging Face 16384 $1.61 62.1
DeepSeek-V3.2 7B DeepSeek 4096 $1.75 63.2
Firefunction Mini Fireworks AI 32768 $4.63 63.2
Llama 3.3 8B Meta AI 8192 $1.26 60.1
Zephyr Instruct Hugging Face 4096 $1.66 62.4

Other benchmarks for Firefunction Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 69.4 403 33th
GPQA Diamond 59.0 416 31th
SWE-bench Verified 52.4 402 33th
HumanEval 69.2 407 32th
MATH-500 63.1 435 28th
AIME 2025 52.5 440 27th
LiveCodeBench 51.4 434 28th
IFEval 71.1 440 27th
TruthfulQA 67.7 418 30th
MMMU 63.5 395 34th
Arena Elo 1299.6 421 30th

FAQ

What score does Firefunction Mini get on HellaSwag?

Firefunction Mini scores 75.8 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Firefunction Mini rank on HellaSwag?

It ranks #429 of 600 models, in the 29th percentile. The leader is GPT-5.2 Max at 96.1.

Is Firefunction Mini good at HellaSwag?

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 HellaSwag score calculated?

HellaSwag is a commonsense 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 Mini cost?

Firefunction Mini costs $4.63 per million input tokens and $24.26 per million output tokens.

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