Commonsense · Groq

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

Mixtral Groq Chat scores 81.0 on HellaSwag, placing it #372 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
81.0
0–100 scale
Rank
#372
of 600
Percentile
38th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
15.1
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Mixtral Groq Chat 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 Chat sits at #372 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 15.1 points. The median model in this index scores 83.6, which puts Mixtral Groq Chat below the midpoint.

Groq models average 78.4 on this benchmark. Mixtral Groq Chat is 2.6 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 Chat is 0.8 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 81.0 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 $3.09 per million input tokens, Mixtral Groq Chat 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
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
Mixtral Base Mistral AI 65536 $2.95 71.1
Mixtral Groq Chat Groq 8192 $3.09 72.0
Phi-3.5 Chat Microsoft 16384 $2.64 69.0
DBRX Chat Databricks 65536 $3.07 71.7

Other benchmarks for Mixtral Groq Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 73.5 364 39th
GPQA Diamond 66.7 335 44th
SWE-bench Verified 60.4 319 47th
HumanEval 75.5 335 44th
MATH-500 74.7 334 44th
AIME 2025 69.4 269 55th
LiveCodeBench 64.7 302 50th
IFEval 80.4 324 46th
TruthfulQA 77.3 273 55th
MMMU 67.9 343 43th
Arena Elo 1374.7 296 51th

FAQ

What score does Mixtral Groq Chat get on HellaSwag?

Mixtral Groq Chat scores 81.0 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Mixtral Groq Chat rank on HellaSwag?

It ranks #372 of 600 models, in the 38th percentile. The leader is GPT-5.2 Max at 96.1.

Is Mixtral Groq Chat 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 Chat cost?

Mixtral Groq Chat costs $3.09 per million input tokens and $10.83 per million output tokens.

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