Coding · Reka AI

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

Reka Core Pro scores 83.4 on HumanEval, placing it #152 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
83.4
0–100 scale
Rank
#152
of 600
Percentile
75th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
13.4
points

Score distribution

The chart shows the top 10 models on HumanEval, with Reka Core Pro 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 Pro sits at #152 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 13.4 points. The median model in this index scores 77.4, which puts Reka Core Pro above the midpoint.

Reka AI models average 78.2 on this benchmark. Reka Core Pro is 5.2 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 Core Pro is 1.2 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 83.4 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 $13.44 per million input tokens, Reka Core Pro 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
Command A Turbo Cohere 32768 $13.53 79.8
DeepSeek-R1 Base DeepSeek 400000 $5.05 80.1
Nova Pro Reasoning Amazon 200000 $13.48 79.4
QwQ Chat Alibaba Cloud 65536 $4.28 78.2
Reka Core Pro Reka AI 65536 $13.44 79.9
Hunyuan-Turbo Reasoning Tencent 128000 $11.89 77.5
Nemotron 4 Instruct NVIDIA 65536 $4.10 76.4

Other benchmarks for Reka Core Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 83.2 102 83th
GPQA Diamond 78.0 87 86th
SWE-bench Verified 66.8 173 71th
MATH-500 85.9 94 84th
AIME 2025 75.8 145 76th
LiveCodeBench 71.8 152 75th
IFEval 86.0 159 74th
TruthfulQA 83.4 100 83th
HellaSwag 88.7 121 80th
MMMU 76.4 131 78th
Arena Elo 1421.1 144 76th

FAQ

What score does Reka Core Pro get on HumanEval?

Reka Core Pro scores 83.4 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Reka Core Pro rank on HumanEval?

It ranks #152 of 600 models, in the 75th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Reka Core Pro 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 Core Pro cost?

Reka Core Pro costs $13.44 per million input tokens and $69.38 per million output tokens.

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