Gemini 3.8 Flash
gemini-3-8-flashgemini-3.8-flashgemini/gemini-3.8-flashgoogle/gemini-3.8-flash- - 🏢 Google's latest Gemini 3 Flash "workhorse" model, released September 2026.
- - 📏 One million token context window; up to 64k output tokens.
- - 🧠 Tunable thinking levels (low, medium, high) trade latency for accuracy.
- - 👁️ Multimodal input: text, images, audio and video, plus code.
- - 🔧 Built for agentic coding, tool use and long-horizon multi-step execution.
- - 🎯 Google reports 3x more completed tasks than 3.7 Flash on document-heavy workflows.
- - ⚡ Higher token consumption than 3.7 Flash; medium effort curbs it.
Google is an American multinational technology corporation and one of the world's most valuable brands. A subsidiary of parent company Alphabet Inc., Google operates across search, cloud computing, consumer electronics, and artificial intelligence. Its DeepMind and Google…
Explore 28 more models by Google →Gemini 3.8 Flash is the newest entry in Google's Flash line, positioned by Google as the "primary agentic workhorse" of the Gemini 3 family — sitting between the deep-reasoning Pro models and the high-throughput Flash-Lite tier such as Gemini 3.5 Flash-Lite. It handles text, images, audio and video with a one-million-token context window and up to 64k output tokens, and supports function calling and built-in tools for agent workflows.
Per its model card, Gemini 3.8 Flash is built directly on Gemini 3.7 Flash, which itself followed Gemini 3.6 Flash, Gemini 3.5 Flash and the original Gemini 3 Flash Preview. Google describes the generational gains as concentrated in software engineering, agentic tasks and multi-step reasoning in specialized domains, and says the model completed "more than three times as many tasks" as 3.7 Flash in its own evaluations of long-running, document-heavy workflows.
Google's developer guide notes the trade-off: relative to 3.7 Flash, 3.8 Flash delivers better accuracy and more reliable performance but consumes more tokens, which is why the effort-control mechanism matters. The same three thinking levels carried over from 3.7 Flash remain — low for latency-sensitive pipelines, medium as the default for complex code and agentic use, high for the hardest reasoning — with Google noting that medium effort still handles complex agentic tasks while trimming token use.
For deep-reasoning work, the Pro branch — represented here by Gemini 3.1 Pro Preview — remains the alternative track within the same generation.
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
Daily usage · Gemini 3.8 Flash · Organic sellers
Top sellers · Gemini 3.8 Flash · Organic
- ▲ Apex Ant24.7%
- Super Seeder18.4%
- ZLKPro-Api17.0%
- Best12.0%
- Hana Gateway ✅9.1%
- OpenCheap5.1%
- Others13.7%
| Seller | Health | Rep↓ | Sales | Tokens | Routing | Input $/M | Cached $/M | Output $/M | Save | 1st token | tok/s |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Super Seeder 0xd19f…41f3 | healthy | 89.22 | $2.96 | 10.86M | #3 | $1.1719 | $0.1172 | $5.8595 | — | — | — |
| 💬 Banter 0x4122…e194 | healthy | 82.88 | $0.07 | 186.63k | #2 | $0.574 | $0.0574 | $2.87 | −30% | — | — |
| ▲ Apex Ant 0x73b4…e736 | — | 81.71 | $3.97 | 12.07M | #1 | $0.4688 | $0.05 | $2.34 | −43% | — | — |
| Relay Works 0x3040…7139 | — | 54.66 | $0.77 | 8.62M | gated | $0.2438 | $0.0244 | $1.2188 | −70% | — | — |
| attacompute.ai 0xd5e7…7be0 | healthy | 51.22 | $0.28 | 1.21M | gated | $0.32 | $0.0713 | $1.61 | −61% | — | — |
| ZLKPro-Api 0x0b0b…f446 | healthy | 20.91 | $2.74 | 80.22M | gated | $0.03 | $0.02 | $0.07 | −96% | 6.1 s | 180 |
| Vikey Seller 0xe4c4…3c7b | healthy | 16.82 | $0.00 | 3.75k | gated | $0.50 | $0.10 | $1.00 | −39% | — | — |
| OpenCheap 0x0ee1…6c41 | — | 12.43 | $0.83 | 24.12M | gated | $0.0294 | $0.0196 | $0.0686 | −96% | — | — |
| Apiport 0xc3cf…7662 | — | 7.07 | $0.27 | 1.39M | gated | $0.25 | $0.025 | $1.20 | −70% | — | — |
| antseed-opal-sparrow-e4c3 0x9cb1…e4c3 | — | 5.00 | $0.07 | 585.02k | gated | $0.10 | $0.01 | $0.50 | −88% | — | — |
| PawFlor-SI-Gateway ⚡ 0x70bc…8261 | — | 0.97 | — | — | gated | $0.3825 | $0.3825not advertised | $1.9125 | −54% | — | — |
| surplus-hive 0x6145…5c58 | — | 0.00 | — | — | gated | $2.2786 | $2.2786 | $11.3932 | — | — | — |
| Fire Ant 🔥🐜 0xbe05…bc5d | — | 0.00 | $0.00 | 3.59k | gated | $0.8438 | $0.0613 | $4.2188 | — | — | — |
| Edith AI 0xb269…b1a6 | healthy | 0.00 | —excluded | — | gated | $0.4641 | $0.0495 | $2.3166 | −44% | — | — |
| Joi Gateway 0x8a90…7007 | — | 0.00 | — | — | gated | $0.366 | $0.366 | $1.83 | −56% | — | — |
| LLMart 0x948a…a000 | — | 0.00 | $0.34 | 2.82M | gated | $0.10 | $0.01 | $0.50 | −88% | — | — |
| Hana Gateway ✅ 0x4ae1…117b | healthy | 0.00 | $1.46 | 12.02M | gated | $0.10 | $0.10 | $0.50 | −88% | — | — |
| Best 0x472f…69fd | healthy | 0.00 | $1.92 | 53.05M | gated | $0.0318 | $0.0083 | $0.0718 | −96% | 0.4 s | 125 |
"Best price" and the seller table are live Antseed catalog data (advertised $/1M tokens — or $ per generated image for unit-billed image models — not settled amounts). Reputation = buyer trust score (0-100, the Antseed SDK's own formula). "Routing" = the SDK's default buyer routing (what the VPR desktop app ships with): a trust ≥ 60 gate on the effective reputation, then cheapest-first among routable sellers; live failover state (per-peer cooldowns) is buyer-side runtime and not included. Model knowledge (TLDR, provider, About) via the VeniceStats enrichment layer. Advertised catalog, not the model used in any specific purchase. "Usage on Antseed" counts only settlements whose buyers share the per-model split on-chain (metadata v2/v3, opt-in), so every usage figure is a lower bound.