Coding · Reka AI

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

Reka Flash Max scores 66.6 on LiveCodeBench, placing it #261 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
66.6
0–100 scale
Rank
#261
of 600
Percentile
57th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
18.5
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Reka Flash 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 Flash Max sits at #261 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 18.5 points. The median model in this index scores 64.7, which puts Reka Flash Max above the midpoint.

Reka AI models average 66.0 on this benchmark. Reka Flash Max is 0.6 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 Max is 3.7 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 66.6 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 $11.17 per million input tokens, Reka Flash 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
Llama 3.3 Groq Base Groq 16384 $3.24 73.5
Llama 3.1 Meta AI 200000 $4.16 76.3
Fusion Reasoning OpenRouter 65536 $8.59 72.2
Gemini 3 Pro Nano Google DeepMind 8192 $9.11 73.2
Reka Flash Max Reka AI 32768 $11.17 75.9
Grok 4 Nano xAI 16384 $8.97 72.7
Llama 3 Novita Chat Novita AI 65536 $3.50 74.2

Other benchmarks for Reka Flash Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.4 296 51th
GPQA Diamond 73.5 188 69th
SWE-bench Verified 66.4 183 70th
HumanEval 81.1 212 65th
MATH-500 81.7 173 71th
AIME 2025 71.5 228 62th
IFEval 84.1 212 65th
TruthfulQA 78.6 236 61th
HellaSwag 85.2 236 61th
MMMU 70.0 306 49th
Arena Elo 1411.3 180 70th

FAQ

What score does Reka Flash Max get on LiveCodeBench?

Reka Flash Max scores 66.6 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Reka Flash Max rank on LiveCodeBench?

It ranks #261 of 600 models, in the 57th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Reka Flash 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 Flash Max cost?

Reka Flash Max costs $11.17 per million input tokens and $48.18 per million output tokens.

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