Coding · Together AI

Llama 3.1 Turbo 8B on HumanEval: score, rank and what it means

Llama 3.1 Turbo 8B scores 61.4 on HumanEval, placing it #476 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
61.4
0–100 scale
Rank
#476
of 600
Percentile
21th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
35.4
points

Score distribution

The chart shows the top 10 models on HumanEval, with Llama 3.1 Turbo 8B highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, Llama 3.1 Turbo 8B sits at #476 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 35.4 points. The median model in this index scores 77.4, which puts Llama 3.1 Turbo 8B below the midpoint.

Together AI models average 68.4 on this benchmark. Llama 3.1 Turbo 8B is 7.0 points below that provider line, so it is a weaker result than the average Together AI model.

Among small open-weight models, the average is 56.7. Llama 3.1 Turbo 8B is 4.7 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 61.4 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 $1.16 per million input tokens, Llama 3.1 Turbo 8B is below the median input price of $4.00 across the 600 models scored on HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Hunyuan-Large 7B Tencent 32768 $1.08 57.7
Llama 3.3 Groq 8B Groq 16384 $1.17 59.5
Llama 3 Baseten 8B Baseten 4096 $1.02 57.0
Llama 3 Replicate 8B Replicate 32768 $1.00 57.0
Llama 3.1 Turbo 8B Together AI 32768 $1.16 58.8
Command R+ 8B Cohere 8192 $1.21 57.7
Mistral Small 3 8B Mistral AI 8192 $0.99 57.2

Other benchmarks for Llama 3.1 Turbo 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 63.7 479 20th
GPQA Diamond 56.8 443 26th
SWE-bench Verified 45.1 465 23th
MATH-500 58.7 482 20th
AIME 2025 44.6 502 16th
LiveCodeBench 50.5 442 26th
IFEval 68.0 488 19th
TruthfulQA 65.3 456 24th
HellaSwag 74.0 456 24th
MMMU 58.3 452 25th
Arena Elo 1272.1 454 24th

FAQ

What score does Llama 3.1 Turbo 8B get on HumanEval?

Llama 3.1 Turbo 8B scores 61.4 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Llama 3.1 Turbo 8B rank on HumanEval?

It ranks #476 of 600 models, in the 21st percentile. The leader is GPT-5.2 Pro at 96.8.

Is Llama 3.1 Turbo 8B good at HumanEval?

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 HumanEval score calculated?

HumanEval is a coding 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 3.1 Turbo 8B cost?

Llama 3.1 Turbo 8B costs $1.16 per million input tokens and $5.48 per million output tokens.

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