Instruction following · Tencent

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

Hunyuan-Turbo Nano scores 73.0 on IFEval, placing it #417 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
73.0
0–100 scale
Rank
#417
of 600
Percentile
31th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
23.1
points

Score distribution

The chart shows the top 10 models on IFEval, with Hunyuan-Turbo Nano 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 Nano sits at #417 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 23.1 points. The median model in this index scores 81.2, which puts Hunyuan-Turbo Nano below the midpoint.

Tencent models average 79.6 on this benchmark. Hunyuan-Turbo Nano is 6.6 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 Nano is 3.5 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 73.0 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 $4.65 per million input tokens, Hunyuan-Turbo Nano 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
StableLM 2 Stability AI 8192 $1.91 65.0
DeepSeek-R1 8B DeepSeek 16384 $1.87 64.3
GLM-4.6 7B Zhipu AI 16384 $1.52 61.8
Sonar Pro Nano Perplexity 32768 $5.50 66.1
Hunyuan-Turbo Nano Tencent 32768 $4.65 62.7
StableLM 2 Instruct Stability AI 16384 $1.93 65.2
Embed 4 Pro Cohere 4096 $5.05 63.5

Other benchmarks for Hunyuan-Turbo Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 66.2 438 27th
GPQA Diamond 58.2 425 29th
SWE-bench Verified 49.4 426 29th
HumanEval 67.1 421 30th
MATH-500 66.0 413 31th
AIME 2025 51.5 445 26th
LiveCodeBench 51.0 439 27th
TruthfulQA 67.9 413 31th
HellaSwag 76.1 426 29th
MMMU 63.0 398 34th
Arena Elo 1298.8 422 30th

FAQ

What score does Hunyuan-Turbo Nano get on IFEval?

Hunyuan-Turbo Nano scores 73.0 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Hunyuan-Turbo Nano rank on IFEval?

It ranks #417 of 600 models, in the 31st percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Hunyuan-Turbo Nano 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 Nano cost?

Hunyuan-Turbo Nano costs $4.65 per million input tokens and $25.39 per million output tokens.

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