Commonsense · Groq

Mixtral Groq Base on HellaSwag: score, rank and what it means

Mixtral Groq Base scores 81.1 on HellaSwag, placing it #368 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
81.1
0–100 scale
Rank
#368
of 600
Percentile
39th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
15.0
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Mixtral Groq Base 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, Mixtral Groq Base sits at #368 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 15.0 points. The median model in this index scores 83.6, which puts Mixtral Groq Base below the midpoint.

Groq models average 78.4 on this benchmark. Mixtral Groq Base is 2.7 points above that provider line, so it is a stronger result than the average Groq model.

Among open-weight models, the average is 80.2. Mixtral Groq Base is 0.9 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 81.1 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 $2.66 per million input tokens, Mixtral Groq Base is below 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
Auto OpenRouter 32768 $7.53 70.2
Claude 3.7 Sonnet Nano Anthropic 65536 $6.93 68.9
Firesearch Max Fireworks AI 8192 $7.80 69.9
Fusion OpenRouter 16384 $8.41 71.1
Mixtral Groq Base Groq 32768 $2.66 68.4
OLMo 2 Chat Allen Institute for AI 16384 $2.94 70.6
ERNIE 4.5 Mini Baidu 32768 $8.62 71.0

Other benchmarks for Mixtral Groq Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 71.0 389 35th
GPQA Diamond 64.4 374 38th
SWE-bench Verified 54.9 386 36th
HumanEval 71.8 381 37th
MATH-500 70.9 381 37th
AIME 2025 64.5 349 42th
LiveCodeBench 58.8 380 37th
IFEval 76.3 385 36th
TruthfulQA 74.9 332 45th
MMMU 64.0 390 35th
Arena Elo 1335.6 381 37th

FAQ

What score does Mixtral Groq Base get on HellaSwag?

Mixtral Groq Base scores 81.1 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Mixtral Groq Base rank on HellaSwag?

It ranks #368 of 600 models, in the 39th percentile. The leader is GPT-5.2 Max at 96.1.

Is Mixtral Groq Base 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 Mixtral Groq Base cost?

Mixtral Groq Base costs $2.66 per million input tokens and $11.35 per million output tokens.

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