Coding · Reka AI

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

Reka Core Nano scores 68.1 on HumanEval, placing it #413 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
68.1
0–100 scale
Rank
#413
of 600
Percentile
31th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
28.7
points

Score distribution

The chart shows the top 10 models on HumanEval, with Reka Core 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 Core Nano sits at #413 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 28.7 points. The median model in this index scores 77.4, which puts Reka Core Nano below the midpoint.

Reka AI models average 78.2 on this benchmark. Reka Core Nano is 10.1 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 Core Nano is 3.4 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 68.1 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 $5.45 per million input tokens, Reka Core Nano 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
Embed 4 Reasoning Cohere 4096 $5.50 65.3
Nova Pro Nano Amazon 8192 $5.44 65.4
Doubao 1.5 Pro Nano ByteDance 16384 $5.78 66.6
Nova Lite Mini Amazon 16384 $5.43 65.0
Reka Core Nano Reka AI 16384 $5.45 65.1
Embed 4 Pro Cohere 4096 $5.05 63.5
Nemotron Nano Base NVIDIA 8192 $1.85 65.0

Other benchmarks for Reka Core Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 68.5 412 31th
GPQA Diamond 59.9 407 32th
SWE-bench Verified 50.2 421 30th
MATH-500 69.3 385 36th
AIME 2025 57.3 404 33th
LiveCodeBench 58.7 381 37th
IFEval 74.8 401 33th
TruthfulQA 67.8 416 31th
HellaSwag 79.5 390 35th
MMMU 61.8 411 32th
Arena Elo 1310.8 407 32th

FAQ

What score does Reka Core Nano get on HumanEval?

Reka Core Nano scores 68.1 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Reka Core Nano rank on HumanEval?

It ranks #413 of 600 models, in the 31st percentile. The leader is GPT-5.2 Pro at 96.8.

Is Reka Core 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 Core Nano cost?

Reka Core Nano costs $5.45 per million input tokens and $25.25 per million output tokens.

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