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Reka Flash 3

rekaai/reka-flash-3

Model weights
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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 32K context length and optimized through reinforcement learning (RLOO), it provides competitive performance comparable to proprietary models within a smaller parameter footprint. Ideal for low-latency, local, or on-device deployments, Reka Flash 3 is compact, supports efficient quantization (down to 11GB at 4-bit precision), and employs explicit reasoning tags ("<reasoning>") to indicate its internal thought process.

Reka Flash 3 is primarily an English model with limited multilingual understanding capabilities. The model weights are released under the Apache 2.0 license.

Modalities
In / Out Price
$0.10 / $0.20per 1M
Context
66K
Released
Mar 12, 2025
Knowledge Cutoff
Jan 2025
Compare
ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQExplore

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for Reka Flash 3 (Artificial Analysis)
SourceBenchmarkScore
Artificial AnalysisReka Flash 3 GPQA Diamond52.9%
Artificial AnalysisReka Flash 3 HLE4.4%
Artificial AnalysisReka Flash 3 IFBench30.4%
Artificial AnalysisReka Flash 3 τ²-Bench Telecom0.0%
Artificial AnalysisReka Flash 3 AA-LCR0.0%
Artificial AnalysisReka Flash 3 CritPt0.0%
Artificial AnalysisReka Flash 3 Terminal-Bench Hard0.0%
Artificial AnalysisReka Flash 3 AA-Omniscience Accuracy13.7%
Artificial AnalysisReka Flash 3 AA-Omniscience Non-Hallucination Rate8.7%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

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$0.10$0.200.43s92 tps
100.00%
Throughput
92tok/s

P50, best across providers

Latency
0.43s

P50, best provider

Uptime (3d)The model was reachable. Request routed to a provider.
100.00%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
72.85%

Availability over the last 3 days

Last 72 hours
Availability 72.85%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
88.12%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.

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Frequently asked questions

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 32K context length and optimized through reinforcement learning (RLOO), it provides competitive performance comparable to proprietary models within a smaller parameter footprint.

Reka Flash 3 costs $0.10/M input tokens and $0.20/M output tokens.

Reka Flash 3 has a 65,536 token context window. It supports up to 65,536 completion tokens.

No. Reka Flash 3 does not accept tools, so function calling is unavailable. It also supports structured outputs via a JSON schema in response_format.

Reka Edge is another text model from the same author.

Reka Flash 3 was released on March 12, 2025. Its knowledge cutoff is January 31, 2025.

More models from rekaai

Reka Edge

Reka Edge is an extremely efficient 7B multimodal vision-language model that accepts image/video+text inputs and generates text outputs. This model is optimized specifically to deliver industry-leading performance in image understanding, video analysis, object detection, and agentic tool-use.

Text16K context$0.10 / $0.10