Safety · Lambda

Llama 3 Lambda Chat on TruthfulQA: score, rank and what it means

Llama 3 Lambda Chat scores 77.0 on TruthfulQA, placing it #283 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
77.0
0–100 scale
Rank
#283
of 600
Percentile
53th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
14.1
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Llama 3 Lambda Chat 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, Llama 3 Lambda Chat sits at #283 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 14.1 points. The median model in this index scores 76.3, which puts Llama 3 Lambda Chat above the midpoint.

Lambda models average 69.2 on this benchmark. Llama 3 Lambda Chat is 7.8 points above that provider line, so it is a stronger result than the average Lambda model.

Among multimodal models, the average is 80.1. Llama 3 Lambda Chat is 3.1 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 77.0 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 $3.73 per million input tokens, Llama 3 Lambda Chat 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
Seed-OSS ByteDance 32768 $3.74 75.3
ERNIE 4.0 Baidu 32768 $11.37 76.7
Gemini 3 Pro Nano Google DeepMind 8192 $9.11 73.2
Llama 3 DeepInfra Base DeepInfra 16384 $2.95 71.8
Llama 3 Lambda Chat Lambda 32768 $3.73 74.7
Llama 3 Modal Chat Modal 65536 $3.55 73.3
DBRX Chat Databricks 65536 $3.07 71.7

Other benchmarks for Llama 3 Lambda Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.8 282 53th
GPQA Diamond 71.4 232 61th
SWE-bench Verified 64.2 228 62th
HumanEval 79.9 235 61th
MATH-500 75.6 311 48th
AIME 2025 73.3 200 67th
LiveCodeBench 64.5 306 49th
IFEval 80.8 316 47th
HellaSwag 86.2 208 65th
MMMU 72.3 234 61th
Arena Elo 1378.6 278 54th

FAQ

What score does Llama 3 Lambda Chat get on TruthfulQA?

Llama 3 Lambda Chat scores 77.0 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Llama 3 Lambda Chat rank on TruthfulQA?

It ranks #283 of 600 models, in the 53rd percentile. The leader is GPT-5.1 Max at 91.1.

Is Llama 3 Lambda Chat 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 Llama 3 Lambda Chat cost?

Llama 3 Lambda Chat costs $3.73 per million input tokens and $17.52 per million output tokens.

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