Coding · Reka AI

Reka Flash Turbo on LiveCodeBench: score, rank and what it means

Reka Flash Turbo scores 67.2 on LiveCodeBench, placing it #244 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
67.2
0–100 scale
Rank
#244
of 600
Percentile
59th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
17.9
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Reka Flash Turbo 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 Flash Turbo sits at #244 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 17.9 points. The median model in this index scores 64.7, which puts Reka Flash Turbo above the midpoint.

Reka AI models average 66.0 on this benchmark. Reka Flash Turbo is 1.2 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 Flash Turbo is 3.1 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 67.2 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 $10.19 per million input tokens, Reka Flash Turbo 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
Llama 3 Modal Modal 32768 $3.82 74.9
Codestral Mistral AI 65536 $4.19 77.6
DeepSeek-Coder Base DeepSeek 32768 $3.53 74.1
Llama 3 Modal Chat Modal 65536 $3.55 73.3
Reka Flash Turbo Reka AI 128000 $10.19 75.1
Llama 3 Baseten Base Baseten 16384 $3.16 72.4
Llama 3.1 Cerebras Instruct Cerebras 65536 $4.11 76.1

Other benchmarks for Reka Flash Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.9 248 59th
GPQA Diamond 70.3 255 58th
SWE-bench Verified 63.3 248 59th
HumanEval 77.7 296 51th
MATH-500 75.3 321 47th
AIME 2025 72.9 206 66th
IFEval 84.3 208 65th
TruthfulQA 78.3 247 59th
HellaSwag 86.5 195 68th
MMMU 72.2 238 60th
Arena Elo 1381.5 270 55th

FAQ

What score does Reka Flash Turbo get on LiveCodeBench?

Reka Flash Turbo scores 67.2 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Reka Flash Turbo rank on LiveCodeBench?

It ranks #244 of 600 models, in the 59th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Reka Flash Turbo 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 Flash Turbo cost?

Reka Flash Turbo costs $10.19 per million input tokens and $50.90 per million output tokens.

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