Preference · Groq

Mixtral Groq 7B on Arena Elo: score, rank and what it means

Mixtral Groq 7B scores 1227.8 on Arena Elo, placing it #529 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
1227.8
0–100 scale
Rank
#529
of 600
Percentile
12th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
274.1
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Mixtral Groq 7B 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, Mixtral Groq 7B sits at #529 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 274.1 points. The median model in this index scores 1373.8, which puts Mixtral Groq 7B below the midpoint.

Groq models average 1315.3 on this benchmark. Mixtral Groq 7B is 87.5 points below that provider line, so it is a weaker result than the average Groq model.

Among small open-weight models, the average is 1224.7. Mixtral Groq 7B is 3.1 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 1227.8 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 $0.70 per million input tokens, Mixtral Groq 7B 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
Mixtral Turbo 8B Together AI 4096 $0.75 54.1
Firesearch Nano Fireworks AI 8192 $2.49 55.6
Llama 3 Lambda 7B Lambda 8192 $0.84 55.4
Llama 4 Maverick 1.5B Meta AI 8192 $0.93 55.2
Mixtral Groq 7B Groq 4096 $0.70 53.4
GLM-4.6 1.5B Zhipu AI 4096 $0.92 54.7
Kimi K1.5 1.5B Moonshot AI 4096 $0.75 53.2

Other benchmarks for Mixtral Groq 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 59.3 532 11th
GPQA Diamond 47.5 544 9th
SWE-bench Verified 36.6 545 9th
HumanEval 58.5 519 14th
MATH-500 51.1 546 9th
AIME 2025 43.2 520 13th
LiveCodeBench 43.2 515 14th
IFEval 65.7 525 13th
TruthfulQA 60.1 529 12th
HellaSwag 71.8 504 16th
MMMU 50.2 551 8th

FAQ

What score does Mixtral Groq 7B get on Arena Elo?

Mixtral Groq 7B scores 1227.8 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Mixtral Groq 7B rank on Arena Elo?

It ranks #529 of 600 models, in the 12th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Mixtral Groq 7B 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 Mixtral Groq 7B cost?

Mixtral Groq 7B costs $0.70 per million input tokens and $2.47 per million output tokens.

Related