Preference · Baseten

Llama 3 Baseten 7B on Arena Elo: score, rank and what it means

Llama 3 Baseten 7B scores 1233.5 on Arena Elo, placing it #523 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
1233.5
0–100 scale
Rank
#523
of 600
Percentile
13th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
268.4
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Llama 3 Baseten 7B 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 Baseten 7B sits at #523 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 268.4 points. The median model in this index scores 1373.8, which puts Llama 3 Baseten 7B below the midpoint.

Baseten models average 1320.9 on this benchmark. Llama 3 Baseten 7B is 87.4 points below that provider line, so it is a weaker result than the average Baseten model.

Among small open-weight models, the average is 1224.7. Llama 3 Baseten 7B is 8.8 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 1233.5 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 $0.87 per million input tokens, Llama 3 Baseten 7B 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
Gemma 3 7B Google DeepMind 32768 $0.90 55.9
Llama 3 Modal 8B Modal 32768 $0.98 56.6
Llama 3 Anyscale 7B Anyscale 4096 $0.98 56.2
Llama 3 DeepInfra 7B DeepInfra 16384 $0.95 55.6
Llama 3 Baseten 7B Baseten 32768 $0.87 55.3
Embed 4 Mini Cohere 4096 $2.48 55.8
Mixtral Turbo 8B Together AI 4096 $0.75 54.1

Other benchmarks for Llama 3 Baseten 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 62.5 495 18th
GPQA Diamond 49.6 530 12th
SWE-bench Verified 43.1 489 19th
HumanEval 57.8 526 12th
MATH-500 55.7 511 15th
AIME 2025 42.9 524 13th
LiveCodeBench 42.5 521 13th
IFEval 66.1 516 14th
TruthfulQA 62.1 502 16th
HellaSwag 71.4 511 15th
MMMU 54.9 499 17th

FAQ

What score does Llama 3 Baseten 7B get on Arena Elo?

Llama 3 Baseten 7B scores 1233.5 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Llama 3 Baseten 7B rank on Arena Elo?

It ranks #523 of 600 models, in the 13th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Llama 3 Baseten 7B 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 Baseten 7B cost?

Llama 3 Baseten 7B costs $0.87 per million input tokens and $4.51 per million output tokens.

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