Coding · Reka AI

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

Reka Core Max scores 82.7 on HumanEval, placing it #165 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
82.7
0–100 scale
Rank
#165
of 600
Percentile
73th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
14.1
points

Score distribution

The chart shows the top 10 models on HumanEval, with Reka Core Max 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 Max sits at #165 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 14.1 points. The median model in this index scores 77.4, which puts Reka Core Max above the midpoint.

Reka AI models average 78.2 on this benchmark. Reka Core Max is 4.5 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 Max is 0.5 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 82.7 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 $13.41 per million input tokens, Reka Core Max 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
Qwen3-Coder Chat Alibaba Cloud 128000 $4.59 78.4
Claude Opus 4.5 Mini Anthropic 65536 $12.72 79.0
DeepSeek-V3.2 Base DeepSeek 128000 $5.05 80.2
Nemotron 4 NVIDIA 65536 $4.18 76.6
Reka Core Max Reka AI 128000 $13.41 79.3
Sonar Pro Reasoning Perplexity 128000 $13.94 80.5
Doubao 1.5 Pro ByteDance 200000 $13.65 79.7

Other benchmarks for Reka Core Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.5 171 72th
GPQA Diamond 75.1 143 76th
SWE-bench Verified 67.4 159 74th
MATH-500 85.7 98 84th
AIME 2025 74.6 163 73th
LiveCodeBench 70.5 182 70th
IFEval 87.6 115 81th
TruthfulQA 83.8 86 86th
HellaSwag 86.4 202 66th
MMMU 77.5 108 82th
Arena Elo 1417.4 159 74th

FAQ

What score does Reka Core Max get on HumanEval?

Reka Core Max scores 82.7 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Reka Core Max rank on HumanEval?

It ranks #165 of 600 models, in the 73rd percentile. The leader is GPT-5.2 Pro at 96.8.

Is Reka Core Max 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 Max cost?

Reka Core Max costs $13.41 per million input tokens and $61.73 per million output tokens.

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