Reasoning · DeepInfra

Llama 3 DeepInfra Instruct on GPQA Diamond: score, rank and what it means

Llama 3 DeepInfra Instruct scores 71.7 on GPQA Diamond, placing it #226 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
71.7
0–100 scale
Rank
#226
of 600
Percentile
62th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
15.3
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Llama 3 DeepInfra Instruct highlighted. Longer bars mean higher scores.

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, Llama 3 DeepInfra Instruct sits at #226 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 15.3 points. The median model in this index scores 68.8, which puts Llama 3 DeepInfra Instruct above the midpoint.

DeepInfra models average 60.7 on this benchmark. Llama 3 DeepInfra Instruct is 11.0 points above that provider line, so it is a stronger result than the average DeepInfra model.

Among multimodal models, the average is 73.5. Llama 3 DeepInfra Instruct is 1.8 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 71.7 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 $3.84 per million input tokens, Llama 3 DeepInfra Instruct is below the median input price of $4.00 across the 600 models scored on GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
o3 Mini OpenAI 128000 $10.68 76.2
Llama 3.1 Instruct Meta AI 200000 $4.05 75.7
Llama 4 Maverick Base Meta AI 128000 $4.68 79.1
ERNIE 4.0 Pro Baidu 200000 $12.58 77.5
Llama 3 DeepInfra Instruct DeepInfra 65536 $3.84 75.5
Llama 3 Lambda Lambda 65536 $3.90 75.6
Qwen3-Coder Instruct Alibaba Cloud 128000 $4.66 78.1

Other benchmarks for Llama 3 DeepInfra Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 75.5 317 47th
SWE-bench Verified 66.3 186 69th
HumanEval 81.4 201 67th
MATH-500 77.6 263 56th
AIME 2025 70.0 256 57th
LiveCodeBench 69.2 204 66th
IFEval 82.3 265 56th
TruthfulQA 76.3 299 50th
HellaSwag 86.1 212 65th
MMMU 74.2 179 70th
Arena Elo 1374.9 292 51th

FAQ

What score does Llama 3 DeepInfra Instruct get on GPQA Diamond?

Llama 3 DeepInfra Instruct scores 71.7 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Llama 3 DeepInfra Instruct rank on GPQA Diamond?

It ranks #226 of 600 models, in the 62nd percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Llama 3 DeepInfra Instruct good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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 Instruct cost?

Llama 3 DeepInfra Instruct costs $3.84 per million input tokens and $20.22 per million output tokens.

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