Commonsense · Fireworks AI

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

Firefunction Pro scores 85.0 on HellaSwag, placing it #242 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
85.0
0–100 scale
Rank
#242
of 600
Percentile
60th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
11.1
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Firefunction Pro 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 Pro sits at #242 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 11.1 points. The median model in this index scores 83.6, which puts Firefunction Pro above the midpoint.

Fireworks AI models average 80.3 on this benchmark. Firefunction Pro is 4.7 points above that provider line, so it is a stronger result than the average Fireworks AI model.

Among mid-range models, the average is 79.8. Firefunction Pro is 5.2 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 85.0 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 $9.05 per million input tokens, Firefunction Pro 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
Llama 3 Anyscale Chat Anyscale 65536 $3.67 74.6
Llama 3.1 Cerebras Cerebras 128000 $4.01 76.0
Mixtral Groq Instruct Groq 16384 $3.25 72.5
Nemotron 4 Base NVIDIA 8192 $3.29 73.0
Firefunction Pro Fireworks AI 16384 $9.05 72.9
Hunyuan-Turbo Pro Tencent 65536 $12.00 77.6
Hunyuan-Turbo Reasoning Tencent 128000 $11.89 77.5

Other benchmarks for Firefunction Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 75.6 315 48th
GPQA Diamond 66.1 342 43th
SWE-bench Verified 60.9 303 50th
HumanEval 76.5 319 47th
MATH-500 74.6 337 44th
AIME 2025 71.4 231 62th
LiveCodeBench 66.0 274 54th
IFEval 82.6 256 57th
TruthfulQA 74.8 333 45th
MMMU 68.4 338 44th
Arena Elo 1358.8 347 42th

FAQ

What score does Firefunction Pro get on HellaSwag?

Firefunction Pro scores 85.0 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Firefunction Pro rank on HellaSwag?

It ranks #242 of 600 models, in the 60th percentile. The leader is GPT-5.2 Max at 96.1.

Is Firefunction Pro good at HellaSwag?

Yes, relative to the index: it is above the median and inside the top half of scores. 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 Pro cost?

Firefunction Pro costs $9.05 per million input tokens and $49.41 per million output tokens.

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