Coding · Reka AI

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

Reka Flash Nano scores 65.9 on HumanEval, placing it #431 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
65.9
0–100 scale
Rank
#431
of 600
Percentile
28th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
30.9
points

Score distribution

The chart shows the top 10 models on HumanEval, with Reka Flash Nano 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 Nano sits at #431 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 30.9 points. The median model in this index scores 77.4, which puts Reka Flash Nano below the midpoint.

Reka AI models average 78.2 on this benchmark. Reka Flash Nano is 12.3 points below that provider line, so it is a weaker result than the average Reka AI model.

Among mid-range models, the average is 71.5. Reka Flash Nano is 5.6 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 65.9 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 $3.93 per million input tokens, Reka Flash Nano is below 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
Pythia Instruct EleutherAI 8192 $1.41 60.8
Auto Mini OpenRouter 4096 $4.24 61.6
Kimi K1.5 8B Moonshot AI 8192 $1.54 62.2
Mistral Large 3 7B Mistral AI 32768 $1.44 61.1
Reka Flash Nano Reka AI 16384 $3.93 61.0
Zephyr Hugging Face 8192 $1.61 62.8
MiniMax-M2 8B MiniMax 32768 $1.65 61.7

Other benchmarks for Reka Flash Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 66.4 435 28th
GPQA Diamond 59.0 417 31th
SWE-bench Verified 48.7 433 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 HumanEval?

Reka Flash Nano scores 65.9 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Reka Flash Nano rank on HumanEval?

It ranks #431 of 600 models, in the 28th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Reka Flash Nano good at HumanEval?

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 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 Nano cost?

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

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