Coding · Reka AI

Reka Flash Reasoning on HumanEval: score, rank and what it means

Reka Flash Reasoning scores 81.5 on HumanEval, placing it #199 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
81.5
0–100 scale
Rank
#199
of 600
Percentile
67th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
15.3
points

Score distribution

The chart shows the top 10 models on HumanEval, with Reka Flash Reasoning highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, Reka Flash Reasoning sits at #199 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 15.3 points. The median model in this index scores 77.4, which puts Reka Flash Reasoning above the midpoint.

Reka AI models average 78.2 on this benchmark. Reka Flash Reasoning is 3.3 points above that provider line, so it is a stronger result than the average Reka AI model.

Among multimodal models, the average is 82.2. Reka Flash Reasoning is 0.7 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 81.5 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 $10.70 per million input tokens, Reka Flash Reasoning is above the median input price of $4.00 across the 600 models scored on HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
DeepSeek-Coder DeepSeek 32768 $4.55 78.1
Hunyuan-Turbo Tencent 128000 $10.55 75.8
Llama 3.3 Meta AI 128000 $4.56 78.2
MiniMax-Text Instruct MiniMax 128000 $4.59 77.7
Reka Flash Reasoning Reka AI 32768 $10.70 75.6
o3 Mini OpenAI 128000 $10.68 76.2
Llama 3 DeepInfra Instruct DeepInfra 65536 $3.84 75.5

Other benchmarks for Reka Flash Reasoning

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.8 251 58th
GPQA Diamond 70.4 253 58th
SWE-bench Verified 66.9 172 71th
MATH-500 77.0 281 53th
AIME 2025 73.9 186 69th
LiveCodeBench 66.4 267 56th
IFEval 85.2 187 69th
TruthfulQA 76.3 301 50th
HellaSwag 84.2 273 55th
MMMU 72.2 237 61th
Arena Elo 1392.9 236 61th

FAQ

What score does Reka Flash Reasoning get on HumanEval?

Reka Flash Reasoning scores 81.5 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Reka Flash Reasoning rank on HumanEval?

It ranks #199 of 600 models, in the 67th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Reka Flash Reasoning good at HumanEval?

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 HumanEval score calculated?

HumanEval is a coding 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 Reasoning cost?

Reka Flash Reasoning costs $10.70 per million input tokens and $57.45 per million output tokens.

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