Reasoning · Reka AI

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

Reka Flash Nano scores 59.0 on GPQA Diamond, placing it #417 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
59.0
0–100 scale
Rank
#417
of 600
Percentile
31th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
28.0
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Reka Flash 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 Flash Nano sits at #417 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 28.0 points. The median model in this index scores 68.8, which puts Reka Flash Nano below the midpoint.

Reka AI models average 69.6 on this benchmark. Reka Flash Nano is 10.6 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 Flash Nano is 3.9 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 59.0 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 $3.93 per million input tokens, Reka Flash Nano 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
Kimi K1.5 8B Moonshot AI 8192 $1.54 62.2
Llama 4 Maverick 7B Meta AI 4096 $1.52 61.9
Embed 4 Max Cohere 8192 $5.68 66.1
Firefunction Mini Fireworks AI 32768 $4.63 63.2
Reka Flash Nano Reka AI 16384 $3.93 61.0
Llama 4 Scout 8B Meta AI 8192 $1.46 61.2
DeepSeek-V3.2 8B DeepSeek 32768 $2.02 66.2

Other benchmarks for Reka Flash Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 66.4 435 28th
SWE-bench Verified 48.7 433 28th
HumanEval 65.9 431 28th
MATH-500 61.5 448 25th
AIME 2025 52.4 441 27th
LiveCodeBench 50.6 441 27th
IFEval 69.9 463 23th
TruthfulQA 63.6 481 20th
HellaSwag 74.6 449 25th
MMMU 58.8 445 26th
Arena Elo 1267.9 464 23th

FAQ

What score does Reka Flash Nano get on GPQA Diamond?

Reka Flash Nano scores 59.0 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Reka Flash Nano rank on GPQA Diamond?

It ranks #417 of 600 models, in the 31st percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Reka Flash 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 Flash Nano cost?

Reka Flash Nano costs $3.93 per million input tokens and $16.57 per million output tokens.

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