Reka Flash Turbo on MMMU: score, rank and what it means
Reka Flash Turbo scores 72.2 on MMMU, placing it #238 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 Turbo 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 Turbo sits at #238 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 14.7 points. The median model in this index scores 70.0, which puts Reka Flash Turbo above the midpoint.
Reka AI models average 70.7 on this benchmark. Reka Flash Turbo is 1.5 points above that provider line, so it is a stronger result than the average Reka AI model.
Among multimodal models, the average is 74.3. Reka Flash Turbo is 2.1 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 72.2 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 $10.19 per million input tokens, Reka Flash Turbo 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 |
|---|---|---|---|---|
| Llama 3 Lambda Chat | Lambda | 32768 | $3.73 | 74.7 |
| Nova Lite | Amazon | 65536 | $9.20 | 73.4 |
| Magistral Base | Mistral AI | 65536 | $3.86 | 75.6 |
| Reka Flash Reasoning | Reka AI | 32768 | $10.70 | 75.6 |
| Reka Flash Turbo | Reka AI | 128000 | $10.19 | 75.1 |
| Gemma 3 | Google DeepMind | 65536 | $3.68 | 73.6 |
| Llama 3 DeepInfra Chat | DeepInfra | 200000 | $3.74 | 75.0 |
Other benchmarks for Reka Flash Turbo
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 77.9 | 248 | 59th | |
| GPQA Diamond | 70.3 | 255 | 58th | |
| SWE-bench Verified | 63.3 | 248 | 59th | |
| HumanEval | 77.7 | 296 | 51th | |
| MATH-500 | 75.3 | 321 | 47th | |
| AIME 2025 | 72.9 | 206 | 66th | |
| LiveCodeBench | 67.2 | 244 | 59th | |
| IFEval | 84.3 | 208 | 65th | |
| TruthfulQA | 78.3 | 247 | 59th | |
| HellaSwag | 86.5 | 195 | 68th | |
| Arena Elo | 1381.5 | 270 | 55th |
FAQ
What score does Reka Flash Turbo get on MMMU?
Reka Flash Turbo scores 72.2 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.
How does Reka Flash Turbo rank on MMMU?
It ranks #238 of 600 models, in the 60th percentile. The leader is GPT-5.2 Max at 86.9.
Is Reka Flash Turbo good at MMMU?
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 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 Turbo cost?
Reka Flash Turbo costs $10.19 per million input tokens and $50.90 per million output tokens.