Reasoning · Reka AI

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

Reka Core Nano scores 59.9 on GPQA Diamond, placing it #407 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
59.9
0–100 scale
Rank
#407
of 600
Percentile
32th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
27.1
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Reka Core Nano 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 Nano sits at #407 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 27.1 points. The median model in this index scores 68.8, which puts Reka Core Nano below the midpoint.

Reka AI models average 69.6 on this benchmark. Reka Core Nano is 9.7 points below that provider line, so it is a weaker result than the average Reka AI model.

Among mid-range models, the average is 62.9. Reka Core Nano is 3.0 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 59.9 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 $5.45 per million input tokens, Reka Core Nano 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
DeepSeek-V3.2 7B DeepSeek 4096 $1.75 63.2
Reka Flash Mini Reka AI 16384 $5.77 65.5
ERNIE 4.5 Nano Baidu 32768 $6.01 65.6
Molmo Base Allen Institute for AI 4096 $2.02 65.0
Reka Core Nano Reka AI 16384 $5.45 65.1
Nemotron Nano Chat NVIDIA 32768 $2.21 66.2
Fusion Mini OpenRouter 4096 $4.89 63.3

Other benchmarks for Reka Core Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 68.5 412 31th
SWE-bench Verified 50.2 421 30th
HumanEval 68.1 413 31th
MATH-500 69.3 385 36th
AIME 2025 57.3 404 33th
LiveCodeBench 58.7 381 37th
IFEval 74.8 401 33th
TruthfulQA 67.8 416 31th
HellaSwag 79.5 390 35th
MMMU 61.8 411 32th
Arena Elo 1310.8 407 32th

FAQ

What score does Reka Core Nano get on GPQA Diamond?

Reka Core Nano scores 59.9 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Reka Core Nano rank on GPQA Diamond?

It ranks #407 of 600 models, in the 32nd percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Reka Core Nano good at GPQA Diamond?

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 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 Nano cost?

Reka Core Nano costs $5.45 per million input tokens and $25.25 per million output tokens.

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