Safety · OpenRouter

Fusion Max on TruthfulQA: score, rank and what it means

Fusion Max scores 78.6 on TruthfulQA, placing it #231 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
78.6
0–100 scale
Rank
#231
of 600
Percentile
62th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
12.5
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Fusion Max 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, Fusion Max sits at #231 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 12.5 points. The median model in this index scores 76.3, which puts Fusion Max above the midpoint.

OpenRouter models average 72.0 on this benchmark. Fusion Max is 6.6 points above that provider line, so it is a stronger result than the average OpenRouter model.

Among mid-range models, the average is 71.6. Fusion Max is 7.0 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 78.6 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 $9.14 per million input tokens, Fusion Max is above 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
Hunyuan-Turbo Pro Tencent 65536 $12.00 77.6
Llama 3 Replicate Instruct Replicate 128000 $3.71 75.1
Llama 4 Scout Chat Meta AI 32768 $4.66 78.0
Sonar Perplexity 200000 $10.57 76.0
Fusion Max OpenRouter 65536 $9.14 72.5
Gemma 3 Google DeepMind 65536 $3.68 73.6
Llama 3 Modal Instruct Modal 128000 $3.84 75.2

Other benchmarks for Fusion Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 75.1 329 45th
GPQA Diamond 71.5 229 62th
SWE-bench Verified 59.1 340 43th
HumanEval 79.1 262 56th
MATH-500 74.1 344 43th
AIME 2025 65.1 337 44th
LiveCodeBench 63.3 334 44th
IFEval 81.4 288 52th
HellaSwag 82.6 331 45th
MMMU 67.7 348 42th
Arena Elo 1359.7 345 43th

FAQ

What score does Fusion Max get on TruthfulQA?

Fusion Max scores 78.6 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Fusion Max rank on TruthfulQA?

It ranks #231 of 600 models, in the 62nd percentile. The leader is GPT-5.1 Max at 91.1.

Is Fusion Max good at TruthfulQA?

Yes, relative to the index: it is above the median and inside the top half of scores. 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 Fusion Max cost?

Fusion Max costs $9.14 per million input tokens and $43.52 per million output tokens.

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