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Reka Flash

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reka/reka-flash · by Reka AI · decoder-only-transformer

Pricing — 1 offering(s)

Input tokens

  • $0.80 / 1M tokens (input) Current 2026-08-04 → present

Output tokens

  • $2.00 / 1M tokens (output) Current 2026-08-04 → present

    Same sourcing basis as the input tier.

Showing the active price and any recorded history. Full pricing history is available via the paid API — see API docs.

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Capability profile

How Reka Flash rates across core capability dimensions, with the task-level evidence behind each rating.

multilingual Moderate

The 2024 report covered many languages; the 2026 update narrows speech I/O to English but text remains multilingual.

reasoning Unknown

No benchmark published for the current API version. The 2024 report's figures (MMLU 75.9, GSM8K 85.8) describe an earlier model this version has diverged from, so they are not carried as ratings here.

coding Unknown

2024 report: HumanEval 72.0 — same divergence caveat; not treated as current.

tool use Moderate

Function calling and structured output added in the 2026-08-01 update (Reka's own post); no agentic-benchmark score.

instruction following Unknown
context window Weak

8,000-token default, extendable to ~128K per Reka's docs — the default is short and long context is opt-in.

speed Strong

Reka's stated positioning: the 'turbo-class' / fast tier of the Reka lineup, ~21B dense.

cost efficiency Moderate

$0.80 / 1M input, $2.00 / 1M output (Reka API docs) — mid-priced; the value case is the native multimodal (incl. audio/video) input at that price.

Ratings are estimated — limited independent data is available for this model.

Operator guidance

Consider Reka Flash specifically when native audio + video + image input in one model matters and budget is mid-tier; few models in this registry take audio and multi-minute video input directly. For text-only quality at this price, general flagships and cheap MoE models are stronger and better benchmarked. Reka Edge (cheaper) and Reka Core (stronger) are the other tiers — only Flash and Edge are named by Reka as standing public baselines.

Use cases

Limitations

Citations