Multimodal · Reka AI

Reka Flash Mini on MMMU: score, rank and what it means

Reka Flash Mini scores 61.6 on MMMU, placing it #415 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
61.6
0–100 scale
Rank
#415
of 600
Percentile
31th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
25.3
points

Score distribution

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

GPT-5.2 Max 86.9
GPT-5.1 Reasoning 86.2
GPT-5.2 85.3
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.1 Max 85.1
Grok 4 Pro 84.9
Claude Opus 4.5 Reasoning 84.6
Claude Sonnet 4.5 Pro 84.5
GPT-5.2 Pro 84.4
GPT-5.2 Vision 84.4

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-5.2 OpenAI 2000000 $19.71 88.0
4 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
5 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
6 Grok 4 Pro xAI 1000000 $19.00 85.4
7 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
8 Claude Sonnet 4.5 Pro Anthropic 1000000 $18.73 86.7
9 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
10 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4

What this score means

On MMMU, Reka Flash Mini sits at #415 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 25.3 points. The median model in this index scores 70.0, which puts Reka Flash Mini below the midpoint.

Reka AI models average 70.7 on this benchmark. Reka Flash Mini is 9.1 points below that provider line, so it is a weaker result than the average Reka AI model.

Among mid-range models, the average is 65.0. Reka Flash Mini is 3.4 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 61.6 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 $5.77 per million input tokens, Reka Flash Mini is above the median input price of $4.00 across the 600 models scored on MMMU. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Reka Core Nano Reka AI 16384 $5.45 65.1
Phi-3.5 Base Microsoft 65536 $2.24 66.6
Arctic Base Snowflake 32768 $2.27 67.5
ERNIE 4.0 Nano Baidu 32768 $4.68 62.1
Reka Flash Mini Reka AI 16384 $5.77 65.5
ERNIE 4.5 Nano Baidu 32768 $6.01 65.6
DeepSeek-V3.2 7B DeepSeek 4096 $1.75 63.2

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
MATH-500 67.0 408 32th
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
Arena Elo 1313.6 402 33th

FAQ

What score does Reka Flash Mini get on MMMU?

Reka Flash Mini scores 61.6 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Reka Flash Mini rank on MMMU?

It ranks #415 of 600 models, in the 31st percentile. The leader is GPT-5.2 Max at 86.9.

Is Reka Flash Mini good at MMMU?

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 MMMU score calculated?

MMMU is a multimodal 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.

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