Reasoning · Reka AI

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

Reka Core Pro scores 78.0 on GPQA Diamond, placing it #87 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
78.0
0–100 scale
Rank
#87
of 600
Percentile
86th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
9.0
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Reka Core Pro 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 Pro sits at #87 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 9.0 points. The median model in this index scores 68.8, which puts Reka Core Pro above the midpoint.

Reka AI models average 69.6 on this benchmark. Reka Core Pro is 8.4 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 Pro is 4.5 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 78.0 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 $13.44 per million input tokens, Reka Core Pro 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
Kimi K1.5 Chat Moonshot AI 128000 $5.11 80.2
Command A Turbo Cohere 32768 $13.53 79.8
DeepSeek-V3.2 Chat DeepSeek 1000000 $5.80 82.5
Gemini 2.5 Pro Vision Google DeepMind 200000 $14.91 82.0
Reka Core Pro Reka AI 65536 $13.44 79.9
Qwen3-Coder Alibaba Cloud 200000 $4.94 79.5
DeepSeek-R1 DeepSeek 128000 $5.83 82.8

Other benchmarks for Reka Core Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 83.2 102 83th
SWE-bench Verified 66.8 173 71th
HumanEval 83.4 152 75th
MATH-500 85.9 94 84th
AIME 2025 75.8 145 76th
LiveCodeBench 71.8 152 75th
IFEval 86.0 159 74th
TruthfulQA 83.4 100 83th
HellaSwag 88.7 121 80th
MMMU 76.4 131 78th
Arena Elo 1421.1 144 76th

FAQ

What score does Reka Core Pro get on GPQA Diamond?

Reka Core Pro scores 78.0 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Reka Core Pro rank on GPQA Diamond?

It ranks #87 of 600 models, in the 86th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Reka Core Pro 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 Pro cost?

Reka Core Pro costs $13.44 per million input tokens and $69.38 per million output tokens.

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