Reasoning · Reka AI

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

Reka Flash Pro scores 71.2 on GPQA Diamond, placing it #236 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
71.2
0–100 scale
Rank
#236
of 600
Percentile
61th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
15.8
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Reka Flash 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 Flash Pro sits at #236 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 15.8 points. The median model in this index scores 68.8, which puts Reka Flash Pro above the midpoint.

Reka AI models average 69.6 on this benchmark. Reka Flash Pro is 1.6 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 Flash Pro is 2.3 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 71.2 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 $10.82 per million input tokens, Reka Flash 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
Llama 3 Lambda Chat Lambda 32768 $3.73 74.7
Llama 3.3 Base Meta AI 32768 $3.63 74.0
Mixtral Mistral AI 65536 $3.48 73.7
GPT-5.1 Nano OpenAI 32768 $9.56 74.1
Reka Flash Pro Reka AI 200000 $10.82 75.2
Sonar Perplexity 200000 $10.57 76.0
Llama 3 Modal Modal 32768 $3.82 74.9

Other benchmarks for Reka Flash Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.3 298 50th
SWE-bench Verified 61.8 287 52th
HumanEval 78.6 278 54th
MATH-500 79.2 229 62th
AIME 2025 68.4 289 52th
LiveCodeBench 69.6 201 67th
IFEval 82.8 251 58th
TruthfulQA 77.8 260 57th
HellaSwag 86.1 216 64th
MMMU 75.0 164 73th
Arena Elo 1396.5 218 64th

FAQ

What score does Reka Flash Pro get on GPQA Diamond?

Reka Flash Pro scores 71.2 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Reka Flash Pro rank on GPQA Diamond?

It ranks #236 of 600 models, in the 61st percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Reka Flash 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 Flash Pro cost?

Reka Flash Pro costs $10.82 per million input tokens and $52.20 per million output tokens.

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