Coding · Reka AI

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

Reka Core Max scores 70.5 on LiveCodeBench, placing it #182 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.

Score
70.5
0–100 scale
Rank
#182
of 600
Percentile
70th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
14.6
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Reka Core Max highlighted. Longer bars mean higher scores.

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
2 Grok 4 Reasoning xAI 2000000 $19.67 87.8
3 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 Grok 4 Turbo xAI 1000000 $19.21 86.7
6 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
7 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
8 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
9 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On LiveCodeBench, Reka Core Max sits at #182 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 14.6 points. The median model in this index scores 64.7, which puts Reka Core Max above the midpoint.

Reka AI models average 66.0 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 70.3. Reka Core Max is 0.2 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 70.5 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 LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
o3 Mini OpenAI 128000 $10.68 76.2
ERNIE 4.5 Turbo Baidu 128000 $13.75 79.7
Hunyuan-Turbo Reasoning Tencent 128000 $11.89 77.5
Llama 3 Lambda Instruct Lambda 32768 $3.92 75.8
Reka Core Max Reka AI 128000 $13.41 79.3
Llama 3.3 Groq Groq 32768 $3.98 76.8
MiniMax-M2 Chat MiniMax 200000 $5.02 80.2

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
HumanEval 82.7 165 73th
MATH-500 85.7 98 84th
AIME 2025 74.6 163 73th
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 LiveCodeBench?

Reka Core Max scores 70.5 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Reka Core Max rank on LiveCodeBench?

It ranks #182 of 600 models, in the 70th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Reka Core Max good at LiveCodeBench?

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 LiveCodeBench score calculated?

LiveCodeBench 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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