Mathematics · Reka AI

Reka Flash Mini on MATH-500: score, rank and what it means

Reka Flash Mini scores 67.0 on MATH-500, placing it #408 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.

Score
67.0
0–100 scale
Rank
#408
of 600
Percentile
32th
within the index
Benchmark avg
72.5
all models
Leader
96.7
GPT-5.2 Max
Gap to leader
29.7
points

Score distribution

The chart shows the top 10 models on MATH-500, with Reka Flash Mini highlighted. Longer bars mean higher scores.

GPT-5.2 Max 96.7
GPT-5.1 Reasoning 95.9
GPT-5.1 Pro 95.1
o4 Reasoning 94.8
Grok 4 Max 94.6
Grok 4 Reasoning 94.4
Claude Opus 4.5 Max 94.2
Claude Opus 4.5 93.7
Gemini 3 Pro Reasoning 93.3
Claude Opus 4.5 Turbo 93.2

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 o4 Reasoning OpenAI 1000000 $19.69 87.5
5 Grok 4 Max xAI 2000000 $19.70 86.6
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
10 Claude Opus 4.5 Turbo Anthropic 2000000 $19.57 85.7

What this score means

On MATH-500, Reka Flash Mini sits at #408 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 29.7 points. The median model in this index scores 76.0, which puts Reka Flash Mini below the midpoint.

Reka AI models average 77.0 on this benchmark. Reka Flash Mini is 10.0 points below that provider line, so it is a weaker result than the average Reka AI model.

Among mid-range models, the average is 70.0. Reka Flash Mini is 3.0 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 67.0 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 $5.77 per million input tokens, Reka Flash Mini is above the median input price of $4.00 across the 600 models scored on MATH-500. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Nemotron Nano Instruct NVIDIA 32768 $2.33 67.4
Nova Lite Mini Amazon 16384 $5.43 65.0
Embed 4 Reasoning Cohere 4096 $5.50 65.3
DeepSeek-R1 8B DeepSeek 16384 $1.87 64.3
Reka Flash Mini Reka AI 16384 $5.77 65.5
SmolLM3 Instruct Hugging Face 8192 $1.69 63.6
DeepSeek-V3.2 8B DeepSeek 32768 $2.02 66.2

Other benchmarks for Reka Flash Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 68.1 417 31th
GPQA Diamond 60.2 404 33th
SWE-bench Verified 50.7 416 31th
HumanEval 71.2 386 36th
AIME 2025 59.4 391 35th
LiveCodeBench 58.2 387 36th
IFEval 73.9 407 32th
TruthfulQA 72.0 380 37th
HellaSwag 77.9 404 33th
MMMU 61.6 415 31th
Arena Elo 1313.6 402 33th

FAQ

What score does Reka Flash Mini get on MATH-500?

Reka Flash Mini scores 67.0 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.

How does Reka Flash Mini rank on MATH-500?

It ranks #408 of 600 models, in the 32nd percentile. The leader is GPT-5.2 Max at 96.7.

Is Reka Flash Mini good at MATH-500?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. The result should be read alongside its price and context window.

How is the MATH-500 score calculated?

MATH-500 is a mathematics 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 Mini cost?

Reka Flash Mini costs $5.77 per million input tokens and $27.64 per million output tokens.

Related