Reasoning · Reka AI

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

Reka Flash scores 68.6 on GPQA Diamond, placing it #304 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
68.6
0–100 scale
Rank
#304
of 600
Percentile
49th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
18.4
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Reka Flash 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 sits at #304 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 18.4 points. The median model in this index scores 68.8, which puts Reka Flash below the midpoint.

Reka AI models average 69.6 on this benchmark. Reka Flash is 1.0 points below that provider line, so it is a weaker result than the average Reka AI model.

Among multimodal models, the average is 73.5. Reka Flash is 4.9 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 68.6 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 $9.95 per million input tokens, Reka Flash 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
Auto Pro OpenRouter 8192 $8.41 71.2
Firefunction Max Fireworks AI 32768 $9.12 73.2
Llama 3 Anyscale Chat Anyscale 65536 $3.67 74.6
Sonar Pro Mini Perplexity 8192 $8.02 70.3
Reka Flash Reka AI 128000 $9.95 74.1
Firesearch Pro Fireworks AI 32768 $7.67 70.4
GPT-5.2 Nano OpenAI 128000 $9.73 73.5

Other benchmarks for Reka Flash

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.8 221 63th
SWE-bench Verified 65.5 206 66th
HumanEval 80.1 232 61th
MATH-500 74.9 331 45th
AIME 2025 67.1 312 48th
LiveCodeBench 67.6 236 61th
IFEval 81.1 309 49th
TruthfulQA 79.0 222 63th
HellaSwag 83.0 321 47th
MMMU 69.3 321 47th
Arena Elo 1369.0 322 46th

FAQ

What score does Reka Flash get on GPQA Diamond?

Reka Flash scores 68.6 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Reka Flash rank on GPQA Diamond?

It ranks #304 of 600 models, in the 49th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Reka Flash 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 cost?

Reka Flash costs $9.95 per million input tokens and $36.78 per million output tokens.

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