Reka Flash Turbo on GPQA Diamond: score, rank and what it means
Reka Flash Turbo scores 70.3 on GPQA Diamond, placing it #255 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.
Score distribution
The chart shows the top 10 models on GPQA Diamond, with Reka Flash Turbo highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 2 | GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| 3 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 4 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 5 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 6 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 7 | o4 Turbo | OpenAI | 2000000 | $19.34 | 86.6 |
| 8 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 9 | Grok 4 Turbo | xAI | 1000000 | $19.21 | 86.7 |
| 10 | Claude Sonnet 4.5 Max | Anthropic | 1000000 | $19.90 | 87.2 |
What this score means
On GPQA Diamond, Reka Flash Turbo sits at #255 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 16.7 points. The median model in this index scores 68.8, which puts Reka Flash Turbo above the midpoint.
Reka AI models average 69.6 on this benchmark. Reka Flash Turbo is 0.7 points above that provider line, so it is a stronger result than the average Reka AI model.
Among multimodal models, the average is 73.5. Reka Flash Turbo is 3.2 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 70.3 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 $10.19 per million input tokens, Reka Flash Turbo is above the median input price of $4.00 across the 600 models scored on GPQA Diamond. 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 4 Scout Base | Meta AI | 32768 | $3.95 | 75.3 |
| Codestral Base | Mistral AI | 8192 | $3.31 | 73.1 |
| Reka Flash Reasoning | Reka AI | 32768 | $10.70 | 75.6 |
| Grok 3 Mini | xAI | 200000 | $9.67 | 73.9 |
| Reka Flash Turbo | Reka AI | 128000 | $10.19 | 75.1 |
| Llama 3 Hyperbolic Instruct | Hyperbolic | 200000 | $3.79 | 76.2 |
| Llama 3.3 Instruct | Meta AI | 128000 | $4.33 | 76.6 |
Other benchmarks for Reka Flash Turbo
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 77.9 | 248 | 59th | |
| 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 | |
| MMMU | 72.2 | 238 | 60th | |
| Arena Elo | 1381.5 | 270 | 55th |
FAQ
What score does Reka Flash Turbo get on GPQA Diamond?
Reka Flash Turbo scores 70.3 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.
How does Reka Flash Turbo rank on GPQA Diamond?
It ranks #255 of 600 models, in the 58th percentile. The leader is GPT-5.2 Reasoning at 87.0.
Is Reka Flash Turbo good at GPQA Diamond?
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 GPQA Diamond score calculated?
GPQA Diamond is a reasoning 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.