Commonsense · Lambda

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

Llama 3 Lambda Chat scores 86.2 on HellaSwag, placing it #208 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
86.2
0–100 scale
Rank
#208
of 600
Percentile
65th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
9.9
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Llama 3 Lambda Chat highlighted. Longer bars mean higher scores.

GPT-5.2 Max 96.1
GPT-5.2 Turbo 95.5
GPT-5.2 Pro 95.3
Claude Opus 4.5 Pro 95.2
Claude Sonnet 4.5 Reasoning 95.2
Grok 4 Reasoning 95.2
GPT-5.2 Vision 94.6
Gemini 3 Pro Turbo 94.6
GPT-5.1 Reasoning 94.4
o4 Pro 94.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
8 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
9 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
10 o4 Pro OpenAI 1000000 $19.37 87.3

What this score means

On HellaSwag, Llama 3 Lambda Chat sits at #208 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 9.9 points. The median model in this index scores 83.6, which puts Llama 3 Lambda Chat above the midpoint.

Lambda models average 78.4 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 86.8. Llama 3 Lambda Chat is 0.6 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 86.2 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 HellaSwag. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Codestral Chat Mistral AI 32768 $3.89 75.8
Llama 3 Replicate Instruct Replicate 128000 $3.71 75.1
Phi-4 Microsoft 200000 $3.96 75.4
Reka Core Turbo Reka AI 32768 $12.58 78.4
Llama 3 Lambda Chat Lambda 32768 $3.73 74.7
MiniMax-Text Base MiniMax 128000 $3.66 74.9
Sonar Reasoning Perplexity 200000 $11.48 76.2

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
TruthfulQA 77.0 283 53th
MMMU 72.3 234 61th
Arena Elo 1378.6 278 54th

FAQ

What score does Llama 3 Lambda Chat get on HellaSwag?

Llama 3 Lambda Chat scores 86.2 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Llama 3 Lambda Chat rank on HellaSwag?

It ranks #208 of 600 models, in the 65th percentile. The leader is GPT-5.2 Max at 96.1.

Is Llama 3 Lambda Chat good at HellaSwag?

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 HellaSwag score calculated?

HellaSwag is a commonsense 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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