Preference · Reka AI

Reka Flash Reasoning on Arena Elo: score, rank and what it means

Reka Flash Reasoning scores 1392.9 on Arena Elo, placing it #236 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1392.9
0–100 scale
Rank
#236
of 600
Percentile
61th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
109.0
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Reka Flash Reasoning highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, Reka Flash Reasoning sits at #236 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 109.0 points. The median model in this index scores 1373.8, which puts Reka Flash Reasoning above the midpoint.

Reka AI models average 1379.5 on this benchmark. Reka Flash Reasoning is 13.4 points above that provider line, so it is a stronger result than the average Reka AI model.

Among multimodal models, the average is 1409.6. Reka Flash Reasoning is 16.7 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 1392.9 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 $10.70 per million input tokens, Reka Flash Reasoning is above the median input price of $4.00 across the 600 models scored on Arena Elo. 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
Sonar Perplexity 200000 $10.57 76.0
Llama 3.3 Groq Instruct Groq 65536 $4.08 76.7
Hunyuan-Turbo Reasoning Tencent 128000 $11.89 77.5
Reka Flash Reasoning Reka AI 32768 $10.70 75.6
DeepSeek-Coder Instruct DeepSeek 32768 $4.34 77.7
Llama 3.1 Turbo Together AI 200000 $4.17 76.8

Other benchmarks for Reka Flash Reasoning

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.8 251 58th
GPQA Diamond 70.4 253 58th
SWE-bench Verified 66.9 172 71th
HumanEval 81.5 199 67th
MATH-500 77.0 281 53th
AIME 2025 73.9 186 69th
LiveCodeBench 66.4 267 56th
IFEval 85.2 187 69th
TruthfulQA 76.3 301 50th
HellaSwag 84.2 273 55th
MMMU 72.2 237 61th

FAQ

What score does Reka Flash Reasoning get on Arena Elo?

Reka Flash Reasoning scores 1392.9 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Reka Flash Reasoning rank on Arena Elo?

It ranks #236 of 600 models, in the 61st percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Reka Flash Reasoning good at Arena Elo?

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 Arena Elo score calculated?

Arena Elo is a preference 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 Reasoning cost?

Reka Flash Reasoning costs $10.70 per million input tokens and $57.45 per million output tokens.

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