Coding · Reka AI

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

Reka Core scores 82.0 on HumanEval, placing it #187 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
82.0
0–100 scale
Rank
#187
of 600
Percentile
69th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
14.8
points

Score distribution

The chart shows the top 10 models on HumanEval, with Reka Core 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 sits at #187 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 14.8 points. The median model in this index scores 77.4, which puts Reka Core above the midpoint.

Reka AI models average 78.2 on this benchmark. Reka Core is 3.8 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 is 0.2 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 82.0 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 $12.17 per million input tokens, Reka Core 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 Instruct Alibaba Cloud 128000 $4.66 78.1
Hunyuan-Large Tencent 65536 $4.33 78.2
Llama 3.3 Instruct Meta AI 128000 $4.33 76.6
Sonar Max Perplexity 32768 $11.60 77.8
Reka Core Reka AI 32768 $12.17 77.4
Sonar Perplexity 200000 $10.57 76.0
Llama 3.1 Meta AI 200000 $4.16 76.3

Other benchmarks for Reka Core

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.0 185 69th
GPQA Diamond 74.8 148 75th
SWE-bench Verified 63.8 238 60th
MATH-500 83.8 130 78th
AIME 2025 72.2 217 64th
LiveCodeBench 69.5 202 66th
IFEval 85.7 169 72th
TruthfulQA 79.0 221 63th
HellaSwag 87.1 175 71th
MMMU 73.4 209 65th
Arena Elo 1422.8 136 77th

FAQ

What score does Reka Core get on HumanEval?

Reka Core scores 82.0 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Reka Core rank on HumanEval?

It ranks #187 of 600 models, in the 69th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Reka Core 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 cost?

Reka Core costs $12.17 per million input tokens and $55.77 per million output tokens.

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