Instruction following · Groq

Mixtral Groq 1.5B on IFEval: score, rank and what it means

Mixtral Groq 1.5B scores 59.0 on IFEval, placing it #577 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
59.0
0–100 scale
Rank
#577
of 600
Percentile
4th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
37.1
points

Score distribution

The chart shows the top 10 models on IFEval, with Mixtral Groq 1.5B 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 1.5B sits at #577 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 37.1 points. The median model in this index scores 81.2, which puts Mixtral Groq 1.5B below the midpoint.

Groq models average 74.3 on this benchmark. Mixtral Groq 1.5B is 15.3 points below that provider line, so it is a weaker result than the average Groq model.

Among small open-weight models, the average is 64.9. Mixtral Groq 1.5B is 5.9 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 59.0 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 $0.34 per million input tokens, Mixtral Groq 1.5B 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
Llama 3 Novita 1.5B Novita AI 4096 $0.41 49.1
Llama 3 Baseten 1.5B Baseten 4096 $0.42 48.2
Llama 3 Replicate 1.5B Replicate 4096 $0.51 49.3
Yi-Large 1.5B 01.AI 8192 $0.42 46.8
Mixtral Groq 1.5B Groq 4096 $0.34 46.1
Phi-4 1.5B Microsoft 8192 $0.42 48.1
Phi-3.5 1.5B Microsoft 32768 $0.25 44.5

Other benchmarks for Mixtral Groq 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 55.1 571 5th
GPQA Diamond 40.2 585 3th
SWE-bench Verified 28.5 582 3th
HumanEval 49.4 577 4th
MATH-500 44.1 582 3th
AIME 2025 30.9 582 3th
LiveCodeBench 32.8 578 4th
TruthfulQA 53.6 581 3th
HellaSwag 66.3 574 4th
MMMU 46.8 573 5th
Arena Elo 1172.0 581 3th

FAQ

What score does Mixtral Groq 1.5B get on IFEval?

Mixtral Groq 1.5B scores 59.0 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Mixtral Groq 1.5B rank on IFEval?

It ranks #577 of 600 models, in the 4th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Mixtral Groq 1.5B 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 1.5B cost?

Mixtral Groq 1.5B costs $0.34 per million input tokens and $1.24 per million output tokens.

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