Preference · Together AI

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

Llama 3.1 Turbo 8B scores 1272.1 on Arena Elo, placing it #454 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1272.1
0–100 scale
Rank
#454
of 600
Percentile
24th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
229.8
points

Score distribution

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

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, Llama 3.1 Turbo 8B sits at #454 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 229.8 points. The median model in this index scores 1373.8, which puts Llama 3.1 Turbo 8B below the midpoint.

Together AI models average 1312.2 on this benchmark. Llama 3.1 Turbo 8B is 40.1 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 1224.7. Llama 3.1 Turbo 8B is 47.4 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 1272.1 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 Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3.1 8B Meta AI 8192 $1.15 58.7
GLM-4.6 7B Zhipu AI 16384 $1.52 61.8
Qwen3-Coder 7B Alibaba Cloud 32768 $1.24 59.6
Nova Lite Nano Amazon 8192 $3.29 59.5
Llama 3.1 Turbo 8B Together AI 32768 $1.16 58.8
Llama 3.3 8B Meta AI 8192 $1.26 60.1
Pythia Chat EleutherAI 4096 $1.31 59.1

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
HumanEval 61.4 476 21th
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

FAQ

What score does Llama 3.1 Turbo 8B get on Arena Elo?

Llama 3.1 Turbo 8B scores 1272.1 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Llama 3.1 Turbo 8B rank on Arena Elo?

It ranks #454 of 600 models, in the 24th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Llama 3.1 Turbo 8B good at Arena Elo?

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 Arena Elo score calculated?

Arena Elo is a preference 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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