Coding · Tencent

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

Hunyuan-Turbo Nano scores 67.1 on HumanEval, placing it #421 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
67.1
0–100 scale
Rank
#421
of 600
Percentile
30th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
29.7
points

Score distribution

The chart shows the top 10 models on HumanEval, with Hunyuan-Turbo Nano highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, Hunyuan-Turbo Nano sits at #421 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 29.7 points. The median model in this index scores 77.4, which puts Hunyuan-Turbo Nano below the midpoint.

Tencent models average 75.8 on this benchmark. Hunyuan-Turbo Nano is 8.7 points below that provider line, so it is a weaker result than the average Tencent model.

Among mid-range models, the average is 71.5. Hunyuan-Turbo Nano is 4.4 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 67.1 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 HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 4 Maverick 8B Meta AI 4096 $1.64 63.4
StableLM 2 Base Stability AI 8192 $1.49 61.9
Fusion Mini OpenRouter 4096 $4.89 63.3
DeepSeek-V3.2 7B DeepSeek 4096 $1.75 63.2
Hunyuan-Turbo Nano Tencent 32768 $4.65 62.7
ERNIE 4.0 Nano Baidu 32768 $4.68 62.1
MiniMax-M2 7B MiniMax 8192 $1.44 60.8

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
MATH-500 66.0 413 31th
AIME 2025 51.5 445 26th
LiveCodeBench 51.0 439 27th
IFEval 73.0 417 31th
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 HumanEval?

Hunyuan-Turbo Nano scores 67.1 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Hunyuan-Turbo Nano rank on HumanEval?

It ranks #421 of 600 models, in the 30th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Hunyuan-Turbo Nano good at HumanEval?

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 HumanEval score calculated?

HumanEval is a coding 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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