Reka Flash Max on MMMU: score, rank and what it means
Reka Flash Max scores 70.0 on MMMU, placing it #306 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.
Score distribution
The chart shows the top 10 models on MMMU, with Reka Flash Max highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg 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 Max sits at #306 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 16.9 points. The median model in this index scores 70.0, which puts Reka Flash Max below the midpoint.
Reka AI models average 70.7 on this benchmark. Reka Flash Max is 0.7 points below that provider line, so it is a weaker result than the average Reka AI model.
Among multimodal models, the average is 74.3. Reka Flash Max is 4.3 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 70.0 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 $11.17 per million input tokens, Reka Flash Max 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.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Codestral Instruct | Mistral AI | 65536 | $4.01 | 75.1 |
| Llama 3 Lambda Instruct | Lambda | 32768 | $3.92 | 75.8 |
| QwQ Base | Alibaba Cloud | 65536 | $3.68 | 74.1 |
| Qwen3-Max Mini | Alibaba Cloud | 128000 | $11.13 | 76.5 |
| Reka Flash Max | Reka AI | 32768 | $11.17 | 75.9 |
| ERNIE 4.5 Mini | Baidu | 32768 | $8.62 | 71.0 |
| Llama 3.1 Base | Meta AI | 32768 | $3.39 | 72.2 |
Other benchmarks for Reka Flash Max
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| 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 | |
| LiveCodeBench | 66.6 | 261 | 57th | |
| IFEval | 84.1 | 212 | 65th | |
| TruthfulQA | 78.6 | 236 | 61th | |
| HellaSwag | 85.2 | 236 | 61th | |
| Arena Elo | 1411.3 | 180 | 70th |
FAQ
What score does Reka Flash Max get on MMMU?
Reka Flash Max scores 70.0 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.
How does Reka Flash Max rank on MMMU?
It ranks #306 of 600 models, in the 49th percentile. The leader is GPT-5.2 Max at 86.9.
Is Reka Flash Max 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 Max cost?
Reka Flash Max costs $11.17 per million input tokens and $48.18 per million output tokens.