Instruction following · Tencent

Hunyuan-Large 1.5B on IFEval: score, rank and what it means

Hunyuan-Large 1.5B scores 63.6 on IFEval, placing it #542 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
63.6
0–100 scale
Rank
#542
of 600
Percentile
10th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
32.5
points

Score distribution

The chart shows the top 10 models on IFEval, with Hunyuan-Large 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, Hunyuan-Large 1.5B sits at #542 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 32.5 points. The median model in this index scores 81.2, which puts Hunyuan-Large 1.5B below the midpoint.

Tencent models average 79.6 on this benchmark. Hunyuan-Large 1.5B is 16.0 points below that provider line, so it is a weaker result than the average Tencent model.

Among small open-weight models, the average is 64.9. Hunyuan-Large 1.5B is 1.3 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 63.6 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 $0.54 per million input tokens, Hunyuan-Large 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 4 Scout 1.5B Meta AI 8192 $0.66 53.0
Command R+ 1.5B Cohere 32768 $0.51 50.0
Qwen3-Coder 1.5B Alibaba Cloud 32768 $0.76 52.8
Llama 3.1 Turbo 1.5B Together AI 16384 $0.46 49.8
Hunyuan-Large 1.5B Tencent 8192 $0.54 50.5
MiniMax-Text 1.5B MiniMax 32768 $0.58 51.5
OLMo 2 7B Allen Institute for AI 16384 $0.56 51.7

Other benchmarks for Hunyuan-Large 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 56.6 562 6th
GPQA Diamond 49.3 532 11th
SWE-bench Verified 34.1 563 6th
HumanEval 55.1 543 10th
MATH-500 49.1 562 6th
AIME 2025 35.7 561 7th
LiveCodeBench 36.6 560 7th
TruthfulQA 56.7 555 8th
HellaSwag 66.7 566 6th
MMMU 51.5 539 10th
Arena Elo 1213.8 540 10th

FAQ

What score does Hunyuan-Large 1.5B get on IFEval?

Hunyuan-Large 1.5B scores 63.6 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Hunyuan-Large 1.5B rank on IFEval?

It ranks #542 of 600 models, in the 10th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Hunyuan-Large 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 Hunyuan-Large 1.5B cost?

Hunyuan-Large 1.5B costs $0.54 per million input tokens and $2.78 per million output tokens.

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