Intelligence
9.5
10
General reasoning and benchmark headroom.
LimitedReka Flash 3 is a budget-priced text-first model from Reka AI with balanced runtime profile, standard context posture, and the clearest fit around long-context research / reasoning.
Benchmark blend
Dev workflow signal
Standard
Budget tier
Reka Flash 3 currently reads as a budget text-first option with standard context and a balanced runtime profile.
Decision Strip
Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.
General reasoning and benchmark headroom.
LimitedTTFT 1.25s
CompetitiveHow much prompt and task state can stay in view.
Competitive$0.80 output / 1M
EfficientEditorial Profile
Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.
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.
Reka AI text-first profile
Long-context research / Reasoning with standard context and balanced runtime.
Efficient spend profile. More comfortable for sustained prompt volume if the capability fit is right.
Latency and throughput look responsive enough for interactive loops.
Budget-friendly input pricing is a strength, but raw capability may vary by workload.
Latency is balanced rather than ultra-fast, which is fine for most workflows but not the snappiest tier.
Current metadata points to a text-first profile rather than a broad multimodal one.
Context window is more comfortable for focused tasks than extremely long sessions.
Focused chat, retrieval-augmented flows, and narrower production tasks.
Benchmarks
Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.
Broad reasoning, knowledge depth, and flagship benchmark posture.
Software implementation, debugging quality, and coding benchmark signal.
Formal reasoning, structured problem solving, and competition-style math.
Long-horizon execution quality and interactive benchmark evidence.
Specs & Pricing
Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.
This model is relatively efficient on price. It is the easier fit when sustained prompt volume matters.
Metadata
Verification details remain available, but the page no longer forces them ahead of the editorial read.