Reka Flash Nano on MMLU-Pro: score, rank and what it means
Reka Flash Nano scores 66.4 on MMLU-Pro, placing it #435 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.
Score distribution
The chart shows the top 10 models on MMLU-Pro, with Reka Flash Nano highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 2 | GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| 3 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 4 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 5 | Gemini 3 Pro Reasoning | Google DeepMind | 200000 | $19.69 | 87.5 |
| 6 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 7 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 8 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 9 | GPT-5.2 Vision | OpenAI | 1000000 | $19.03 | 87.4 |
| 10 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
What this score means
On MMLU-Pro, Reka Flash Nano sits at #435 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 25.2 points. The median model in this index scores 76.1, which puts Reka Flash Nano below the midpoint.
Reka AI models average 76.2 on this benchmark. Reka Flash Nano is 9.8 points below that provider line, so it is a weaker result than the average Reka AI model.
Among mid-range models, the average is 71.5. Reka Flash Nano is 5.1 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 66.4 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 $3.93 per million input tokens, Reka Flash Nano is below the median input price of $4.00 across the 600 models scored on MMLU-Pro. 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 |
|---|---|---|---|---|
| Kimi K2 7B | Moonshot AI | 16384 | $1.72 | 62.7 |
| Qwen3 8B | Alibaba Cloud | 8192 | $1.66 | 61.9 |
| Nova Lite Nano | Amazon | 8192 | $3.29 | 59.5 |
| Qwen3-Coder 7B | Alibaba Cloud | 32768 | $1.24 | 59.6 |
| Reka Flash Nano | Reka AI | 16384 | $3.93 | 61.0 |
| StableLM 2 Chat | Stability AI | 8192 | $1.79 | 64.6 |
| Kimi K1.5 7B | Moonshot AI | 8192 | $1.35 | 59.9 |
Other benchmarks for Reka Flash Nano
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| GPQA Diamond | 59.0 | 417 | 31th | |
| SWE-bench Verified | 48.7 | 433 | 28th | |
| HumanEval | 65.9 | 431 | 28th | |
| MATH-500 | 61.5 | 448 | 25th | |
| AIME 2025 | 52.4 | 441 | 27th | |
| LiveCodeBench | 50.6 | 441 | 27th | |
| IFEval | 69.9 | 463 | 23th | |
| TruthfulQA | 63.6 | 481 | 20th | |
| HellaSwag | 74.6 | 449 | 25th | |
| MMMU | 58.8 | 445 | 26th | |
| Arena Elo | 1267.9 | 464 | 23th |
FAQ
What score does Reka Flash Nano get on MMLU-Pro?
Reka Flash Nano scores 66.4 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.
How does Reka Flash Nano rank on MMLU-Pro?
It ranks #435 of 600 models, in the 28th percentile. The leader is GPT-5.2 Pro at 91.6.
Is Reka Flash Nano good at MMLU-Pro?
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 MMLU-Pro score calculated?
MMLU-Pro is a knowledge 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 Nano cost?
Reka Flash Nano costs $3.93 per million input tokens and $16.57 per million output tokens.