Mathematics · DeepInfra

Llama 3 DeepInfra 8B on MATH-500: score, rank and what it means

Llama 3 DeepInfra 8B scores 57.4 on MATH-500, placing it #495 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.

Score
57.4
0–100 scale
Rank
#495
of 600
Percentile
18th
within the index
Benchmark avg
72.5
all models
Leader
96.7
GPT-5.2 Max
Gap to leader
39.3
points

Score distribution

The chart shows the top 10 models on MATH-500, with Llama 3 DeepInfra 8B highlighted. Longer bars mean higher scores.

GPT-5.2 Max 96.7
GPT-5.1 Reasoning 95.9
GPT-5.1 Pro 95.1
o4 Reasoning 94.8
Grok 4 Max 94.6
Grok 4 Reasoning 94.4
Claude Opus 4.5 Max 94.2
Claude Opus 4.5 93.7
Gemini 3 Pro Reasoning 93.3
Claude Opus 4.5 Turbo 93.2

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 o4 Reasoning OpenAI 1000000 $19.69 87.5
5 Grok 4 Max xAI 2000000 $19.70 86.6
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
10 Claude Opus 4.5 Turbo Anthropic 2000000 $19.57 85.7

What this score means

On MATH-500, Llama 3 DeepInfra 8B sits at #495 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 39.3 points. The median model in this index scores 76.0, which puts Llama 3 DeepInfra 8B below the midpoint.

DeepInfra models average 67.0 on this benchmark. Llama 3 DeepInfra 8B is 9.6 points below that provider line, so it is a weaker result than the average DeepInfra model.

Among small open-weight models, the average is 53.7. Llama 3 DeepInfra 8B is 3.7 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 57.4 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 $1.05 per million input tokens, Llama 3 DeepInfra 8B is below the median input price of $4.00 across the 600 models scored on MATH-500. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
MiniMax-Text 8B MiniMax 4096 $1.22 59.5
Codestral 8B Mistral AI 4096 $1.18 59.0
Llama 3.1 8B Meta AI 8192 $1.15 58.7
Command R+ 8B Cohere 8192 $1.21 57.7
Llama 3 DeepInfra 8B DeepInfra 8192 $1.05 57.4
Yi-Large 7B 01.AI 4096 $0.83 55.0
Codestral 7B Mistral AI 32768 $1.05 57.0

Other benchmarks for Llama 3 DeepInfra 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 65.0 454 24th
GPQA Diamond 52.7 491 18th
SWE-bench Verified 42.9 491 18th
HumanEval 60.2 501 17th
AIME 2025 46.5 482 20th
LiveCodeBench 47.4 471 22th
IFEval 69.7 466 22th
TruthfulQA 63.5 482 20th
HellaSwag 72.0 497 17th
MMMU 54.4 504 16th
Arena Elo 1242.0 506 16th

FAQ

What score does Llama 3 DeepInfra 8B get on MATH-500?

Llama 3 DeepInfra 8B scores 57.4 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.

How does Llama 3 DeepInfra 8B rank on MATH-500?

It ranks #495 of 600 models, in the 18th percentile. The leader is GPT-5.2 Max at 96.7.

Is Llama 3 DeepInfra 8B good at MATH-500?

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 MATH-500 score calculated?

MATH-500 is a mathematics 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 DeepInfra 8B cost?

Llama 3 DeepInfra 8B costs $1.05 per million input tokens and $3.99 per million output tokens.

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