Reka Flash 3 vs Google: Gemma 4 31B (free): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Reka Flash 3 (rekaai/reka-flash-3) vs Google: Gemma 4 31B (free) (google/gemma-4-31b-it:free). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Reka Flash 3 (rekaai/reka-flash-3) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Reka Flash 3: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.05/1M) or route via asynchronous Batch API for 50% off standard token rates.
Google: Gemma 4 31B (free) (google/gemma-4-31b-it:free) — Google AI Startup Credits ($350K) & 50% Cache Promo
Google DeepMind is currently subsidizing Gemini 4 Argon at 50% off standard rates ($2.00/1M input & $10.00/1M output instead of $4/$20) until November 30, 2026, alongside 95% off Context Caching ($0.10/1M) and up to $350,000 in Google for Startups Cloud/Vertex AI credits.
In Etuki October 2026 FinOps telemetry comparing Reka Flash 3 (API ID: rekaai/reka-flash-3) vs Google: Gemma 4 31B (free) (API ID: google/gemma-4-31b-it:free), Google: Gemma 4 31B (free) offers lower standard input pricing at $0/1M tokens ($0/1M output), while Google: Gemma 4 31B (free) leads in cached prefix economics at $0/1M tokens (50% discount). Reka Flash 3 achieves a 0ms faster P90 time-to-first-token latency (280ms vs 280ms).
Auto-discovered via live global telemetry registry.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | Reka Flash 3 | Google: Gemma 4 31B (free) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | rekaai/reka-flash-3 | google/gemma-4-31b-it:free | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.1 / $0.2 | $0 / $0 | Google: Gemma 4 31B (free) |
| Cache Read Price (per 1M) | $0.05/1M (50% Off) | $0/1M (50% Off) | Google: Gemma 4 31B (free) |
| Context Window / Max Output | 64K In / 58K Out | 256K In / 32K Out | Reka Flash 3 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Reka Flash 3 (-0ms) |
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-follow
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking
Real-Time Stack Cost & Hidden-Fee Simulator (MAU / Token / Egress / GMV)
Calibrated with Reddit r/FinOps & r/devops telemetry: Includes Context Caching, Bandwidth Egress, and MoR Tax
🛰️Switch from Reka Flash 3 to Google: Gemma 4 31B (free)
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking Verified P90 latency of 280ms.