Instruction following · Tencent

Hunyuan-Turbo Mini on IFEval: score, rank and what it means

Hunyuan-Turbo Mini scores 76.7 on IFEval, placing it #381 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
76.7
0–100 scale
Rank
#381
of 600
Percentile
37th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
19.4
points

Score distribution

The chart shows the top 10 models on IFEval, with Hunyuan-Turbo Mini 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, Hunyuan-Turbo Mini sits at #381 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 19.4 points. The median model in this index scores 81.2, which puts Hunyuan-Turbo Mini below the midpoint.

Tencent models average 79.6 on this benchmark. Hunyuan-Turbo Mini is 2.9 points below that provider line, so it is a weaker result than the average Tencent model.

Among mid-range models, the average is 76.5. Hunyuan-Turbo Mini is 0.2 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 76.7 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 $6.59 per million input tokens, Hunyuan-Turbo Mini is above 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
Phi-3.5 Microsoft 16384 $2.81 70.9
Command A Nano Cohere 8192 $5.90 66.3
ERNIE 4.5 Nano Baidu 32768 $6.01 65.6
DBRX Base Databricks 32768 $2.63 69.1
Hunyuan-Turbo Mini Tencent 8192 $6.59 68.3
ERNIE 4.0 Mini Baidu 32768 $7.11 68.8
OLMo 2 Base Allen Institute for AI 65536 $2.39 67.4

Other benchmarks for Hunyuan-Turbo Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 73.1 367 39th
GPQA Diamond 63.1 383 36th
SWE-bench Verified 52.3 403 33th
HumanEval 73.7 362 40th
MATH-500 69.0 387 36th
AIME 2025 63.9 357 41th
LiveCodeBench 59.2 377 37th
TruthfulQA 73.8 359 40th
HellaSwag 82.0 346 42th
MMMU 64.5 385 36th
Arena Elo 1343.8 374 38th

FAQ

What score does Hunyuan-Turbo Mini get on IFEval?

Hunyuan-Turbo Mini scores 76.7 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Hunyuan-Turbo Mini rank on IFEval?

It ranks #381 of 600 models, in the 37th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Hunyuan-Turbo Mini 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 Hunyuan-Turbo Mini cost?

Hunyuan-Turbo Mini costs $6.59 per million input tokens and $31.70 per million output tokens.

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