Reka Flash 3
Reka AI · released Mar 12, 2025
Reka Flash 3 is a general-purpose, instruction-tuned large language model with 21 billion parameters, developed by Reka. It excels at general chat, coding tasks, instruction-following, and function calling. Featuring a...
Specification
- Context window
- 66K
- Max output
- 66K
- Knowledge cutoff
- Jan 31, 2025
- Parameters
- 20.9B
- Licence
- apache-2.0
- Serving providers
- 1
- Moderated
- No
Intelligence
3.7
12th percentile
Coding
—
Coding Index
Agentic
—
Agentic Index
Output speed
90 t/s
Median across providers
Latency
1.21s
Time to first token
Cost per task
$0.02
Estimated
Benchmarks
Where the score comes from
The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.
Evaluation scores
Percentage correct · higher is better
- MMLU-Pro66.9%
- GPQA Diamond52.9%
- LiveCodeBench43.5%
- AIME 202533.7%
- IFBench30.4%
- SciCode26.7%
- Humanity's Last Exam4.4%
- τ²-bench (Telecom)0.0%
- Terminal-Bench Hard0.0%
- AA-LCR (long context)0.0%
An evaluation missing from this list was not run for this model — it is not a zero.
View as table
| Evaluation | Score |
|---|---|
| MMLU-Pro | 66.9% |
| GPQA Diamond | 52.9% |
| LiveCodeBench | 43.5% |
| AIME 2025 | 33.7% |
| IFBench | 30.4% |
| SciCode | 26.7% |
| Humanity's Last Exam | 4.4% |
| τ²-bench (Telecom) | 0.0% |
| Terminal-Bench Hard | 0.0% |
| AA-LCR (long context) | 0.0% |
Against its peers
Intelligence Index · this model highlighted, nearest peers in grey
- Olmo 3 32B ThinkAllen AI6.1
- Hermes 3 70B InstructNous Research4.8
- Phi 4Microsoft4.6
- Mistral LargeMistral AI4.1
- Mixtral 8x22B InstructMistral AI4.0
- Reka Flash 3Reka AI3.7
- Claude 3 HaikuAnthropic3.5
- GPT-3.5 TurboOpenAI3.2
Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.
View as table
| Model | Intelligence |
|---|---|
| Olmo 3 32B Think | 6.1 |
| Hermes 3 70B Instruct | 4.8 |
| Phi 4 | 4.6 |
| Mistral Large | 4.1 |
| Mixtral 8x22B Instruct | 4.0 |
| Reka Flash 3 | 3.7 |
| Claude 3 Haiku | 3.5 |
| GPT-3.5 Turbo | 3.2 |
Percentile among all indexed models
Pricing
What it costs to run
List prices per million tokens, plus what one representative task works out to.
List price
- Input / 1M tokens
- $0.1
- Output / 1M tokens
- $0.2
- Cached input / 1M
- Not offered
- Blended 3:1
- $0.125
One task, estimated
$0.02
- Input tokens
- 50,000
- Output tokens
- 80,000
- Profile
- Reasoning
Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).
Serving providers
Speed and latency figures are medians across these providers, so a widely-served model reports a blend rather than any single endpoint.