Reka Core Nano on MATH-500: score, rank and what it means
Reka Core Nano scores 69.3 on MATH-500, placing it #385 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.
Score distribution
The chart shows the top 10 models on MATH-500, with Reka Core Nano 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-5.1 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 Core Nano sits at #385 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 27.4 points. The median model in this index scores 76.0, which puts Reka Core Nano below the midpoint.
Reka AI models average 77.0 on this benchmark. Reka Core Nano is 7.7 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 Core Nano is 0.7 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 69.3 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 $5.45 per million input tokens, Reka Core Nano 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.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Mixtral Groq Base | Groq | 32768 | $2.66 | 68.4 |
| Arctic | Snowflake | 8192 | $2.72 | 68.8 |
| Doubao 1.5 Pro Nano | ByteDance | 16384 | $5.78 | 66.6 |
| Firesearch Pro | Fireworks AI | 32768 | $7.67 | 70.4 |
| Reka Core Nano | Reka AI | 16384 | $5.45 | 65.1 |
| Molmo Base | Allen Institute for AI | 4096 | $2.02 | 65.0 |
| Hunyuan-Turbo Mini | Tencent | 8192 | $6.59 | 68.3 |
Other benchmarks for Reka Core Nano
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 68.5 | 412 | 31th | |
| GPQA Diamond | 59.9 | 407 | 32th | |
| SWE-bench Verified | 50.2 | 421 | 30th | |
| HumanEval | 68.1 | 413 | 31th | |
| AIME 2025 | 57.3 | 404 | 33th | |
| LiveCodeBench | 58.7 | 381 | 37th | |
| IFEval | 74.8 | 401 | 33th | |
| TruthfulQA | 67.8 | 416 | 31th | |
| HellaSwag | 79.5 | 390 | 35th | |
| MMMU | 61.8 | 411 | 32th | |
| Arena Elo | 1310.8 | 407 | 32th |
FAQ
What score does Reka Core Nano get on MATH-500?
Reka Core Nano scores 69.3 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.
How does Reka Core Nano rank on MATH-500?
It ranks #385 of 600 models, in the 36th percentile. The leader is GPT-5.2 Max at 96.7.
Is Reka Core Nano 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 Core Nano cost?
Reka Core Nano costs $5.45 per million input tokens and $25.25 per million output tokens.