Coding · Reka AI

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

Reka Core scores 69.5 on LiveCodeBench, placing it #202 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
69.5
0–100 scale
Rank
#202
of 600
Percentile
66th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
15.6
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Reka Core 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 sits at #202 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 15.6 points. The median model in this index scores 64.7, which puts Reka Core above the midpoint.

Reka AI models average 66.0 on this benchmark. Reka Core is 3.5 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 is 0.8 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 69.5 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 $12.17 per million input tokens, Reka Core 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
Magistral Base Mistral AI 65536 $3.86 75.6
DeepSeek-Coder Chat DeepSeek 200000 $4.20 77.3
GLM-4.6 Chat Zhipu AI 400000 $4.89 79.8
Reka Flash Pro Reka AI 200000 $10.82 75.2
Reka Core Reka AI 32768 $12.17 77.4
Llama 4 Maverick Base Meta AI 128000 $4.68 79.1
Llama 3 DeepInfra Instruct DeepInfra 65536 $3.84 75.5

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
HumanEval 82.0 187 69th
MATH-500 83.8 130 78th
AIME 2025 72.2 217 64th
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 LiveCodeBench?

Reka Core scores 69.5 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Reka Core rank on LiveCodeBench?

It ranks #202 of 600 models, in the 66th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Reka Core 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 cost?

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

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