Reasoning · Reka AI

Reka Core on GPQA Diamond: score, rank and what it means

Reka Core scores 74.8 on GPQA Diamond, placing it #148 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
74.8
0–100 scale
Rank
#148
of 600
Percentile
75th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
12.2
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Reka Core 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, Reka Core sits at #148 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 12.2 points. The median model in this index scores 68.8, which puts Reka Core above the midpoint.

Reka AI models average 69.6 on this benchmark. Reka Core is 5.2 points above that provider line, so it is a stronger result than the average Reka AI model.

Among multimodal models, the average is 73.5. Reka Core is 1.3 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 74.8 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 $12.17 per million input tokens, Reka Core is above 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
Reka Core Turbo Reka AI 32768 $12.58 78.4
ERNIE 4.0 Reasoning Baidu 65536 $12.20 77.8
Hunyuan-Large Tencent 65536 $4.33 78.2
GLM-4.5 Zhipu AI 200000 $4.55 78.2
Reka Core Reka AI 32768 $12.17 77.4
ERNIE 4.5 Pro Baidu 1000000 $13.89 80.5
Claude Haiku 4.5 Reasoning Anthropic 128000 $15.11 81.4

Other benchmarks for Reka Core

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.0 185 69th
SWE-bench Verified 63.8 238 60th
HumanEval 82.0 187 69th
MATH-500 83.8 130 78th
AIME 2025 72.2 217 64th
LiveCodeBench 69.5 202 66th
IFEval 85.7 169 72th
TruthfulQA 79.0 221 63th
HellaSwag 87.1 175 71th
MMMU 73.4 209 65th
Arena Elo 1422.8 136 77th

FAQ

What score does Reka Core get on GPQA Diamond?

Reka Core scores 74.8 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Reka Core rank on GPQA Diamond?

It ranks #148 of 600 models, in the 75th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Reka Core 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 Reka Core cost?

Reka Core costs $12.17 per million input tokens and $55.77 per million output tokens.

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