Safety · Tencent

Hunyuan-Large Base on TruthfulQA: score, rank and what it means

Hunyuan-Large Base scores 74.8 on TruthfulQA, placing it #335 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
74.8
0–100 scale
Rank
#335
of 600
Percentile
44th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
16.3
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Hunyuan-Large Base highlighted. Longer bars mean higher scores.

GPT-5.1 Max 91.1
Gemini 3 Pro Reasoning 90.3
GPT-5.1 Reasoning 90.0
GPT-5.2 Pro 90.0
GPT-5.2 89.7
Gemini 3 Pro Max 89.6
Grok 4 Reasoning 89.4
Qwen3-Max Max 89.3
GPT-5.1 89.2
GPT-5.1 Turbo 89.2

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
2 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
3 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
4 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
5 GPT-5.2 OpenAI 2000000 $19.71 88.0
6 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
7 Grok 4 Reasoning xAI 2000000 $19.67 87.8
8 Qwen3-Max Max Alibaba Cloud 400000 $18.53 85.9
9 GPT-5.1 OpenAI 2000000 $19.01 86.0
10 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1

What this score means

On TruthfulQA, Hunyuan-Large Base sits at #335 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 16.3 points. The median model in this index scores 76.3, which puts Hunyuan-Large Base below the midpoint.

Tencent models average 74.1 on this benchmark. Hunyuan-Large Base is 0.7 points above that provider line, so it is a stronger result than the average Tencent model.

Among multimodal models, the average is 80.1. Hunyuan-Large Base is 5.3 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 74.8 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 $3.64 per million input tokens, Hunyuan-Large Base is below the median input price of $4.00 across the 600 models scored on TruthfulQA. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Fusion OpenRouter 16384 $8.41 71.1
Mixtral Groq Base Groq 32768 $2.66 68.4
Firefunction Pro Fireworks AI 16384 $9.05 72.9
Grok 4 Nano xAI 16384 $8.97 72.7
Hunyuan-Large Base Tencent 200000 $3.64 74.0
Phi-3.5 Microsoft 16384 $2.81 70.9
Auto Reasoning OpenRouter 65536 $8.39 71.5

Other benchmarks for Hunyuan-Large Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.0 241 60th
GPQA Diamond 69.1 292 51th
SWE-bench Verified 60.7 311 48th
HumanEval 79.6 244 59th
MATH-500 79.4 225 63th
AIME 2025 69.9 257 57th
LiveCodeBench 64.6 305 49th
IFEval 80.9 311 48th
HellaSwag 83.5 304 49th
MMMU 73.1 217 64th
Arena Elo 1386.1 263 56th

FAQ

What score does Hunyuan-Large Base get on TruthfulQA?

Hunyuan-Large Base scores 74.8 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Hunyuan-Large Base rank on TruthfulQA?

It ranks #335 of 600 models, in the 44th percentile. The leader is GPT-5.1 Max at 91.1.

Is Hunyuan-Large Base good at TruthfulQA?

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 TruthfulQA score calculated?

TruthfulQA is a safety 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 Base cost?

Hunyuan-Large Base costs $3.64 per million input tokens and $19.08 per million output tokens.

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