Instruction following · Groq

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

Mixtral Groq Chat scores 80.4 on IFEval, placing it #324 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.

Score
80.4
0–100 scale
Rank
#324
of 600
Percentile
46th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
15.7
points

Score distribution

The chart shows the top 10 models on IFEval, with Mixtral Groq Chat highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
8 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 o4 Reasoning OpenAI 1000000 $19.69 87.5

What this score means

On IFEval, Mixtral Groq Chat sits at #324 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 15.7 points. The median model in this index scores 81.2, which puts Mixtral Groq Chat below the midpoint.

Groq models average 74.3 on this benchmark. Mixtral Groq Chat is 6.1 points above that provider line, so it is a stronger result than the average Groq model.

Among open-weight models, the average is 77.0. Mixtral Groq Chat is 3.4 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 80.4 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 IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Fusion Turbo OpenRouter 8192 $8.55 71.7
Mixtral Chat Mistral AI 65536 $3.30 72.6
GPT-5.2 Nano OpenAI 128000 $9.73 73.5
Llama 3.3 Base Meta AI 32768 $3.63 74.0
Mixtral Groq Chat Groq 8192 $3.09 72.0
Nova Lite Max Amazon 200000 $9.79 73.4
OLMo 2 Instruct Allen Institute for AI 32768 $3.03 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
TruthfulQA 77.3 273 55th
HellaSwag 81.0 372 38th
MMMU 67.9 343 43th
Arena Elo 1374.7 296 51th

FAQ

What score does Mixtral Groq Chat get on IFEval?

Mixtral Groq Chat scores 80.4 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Mixtral Groq Chat rank on IFEval?

It ranks #324 of 600 models, in the 46th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Mixtral Groq Chat good at IFEval?

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 IFEval score calculated?

IFEval is a instruction following 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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