Qwen3.8-Flash vs Gemini 3.7 Flash
Side-by-side comparison of API pricing, specs, benchmarks, and capabilities
| Specification |
by Alibaba
|
Gemini 3.7 FlashIntro price
by Google
|
|---|---|---|
| Overview | ||
| Status | Current budget | Current flagship |
| Released | Aug 26, 2026 | Aug 13, 2026 |
| Pricing per million tokens | ||
| Input | $0.150/Mtok | $0.750/Mtok |
| Output | $0.470/Mtok | $3.75/Mtok |
| Blended avg | $0.230/Mtok | $1.50/Mtok |
| Cached input | — | $0.075/Mtok |
| Price basis | Alibaba Model Studio International list price, the SKU's single 0<Token≤1M tier — unlike Qwen3.6-Flash and Qwen3.7-Flash this row is not tiered by request size. The row is labelled context-cache eligible but the table prints no cache rate for it, so cached input is left unset rather than assumed; unlike its Qwen3.7 predecessor it carries no 50% batch-inference label. A free quota of 1M tokens (90 days) applies in Singapore only and is a trial credit, not a list price. | Google's Gemini API pricing page prints a dated, two-phase schedule for this model: $0.75 per 1M input tokens through December 31, 2026, rising to $1.50 on January 1, 2027, and $3.75 per 1M output tokens through December 31, 2026, rising to $7.50. Context caching follows the same dates ($0.075, then $0.15). We publish the rate you would pay today and re-verify it before the changeover date. Note that resellers may quote a lower figure: OpenRouter's default route for this model shows $0.375/$1.875, which is Google's batch service tier rather than the standard rate. Checked 2026-08-18 against ai.google.dev/gemini-api/docs/pricing. |
| Specifications | ||
| Context window | 1M tokens | 1M tokens |
| Parameters | Proprietary | Proprietary |
| Speed (TPS) | — | — |
| Modalities | ||
| Input |
text
|
textimageaudiovideo
|
| Benchmarks sources: n/a / Vellum LLM Leaderboard | ||
| Avg benchmark score | — | 85.8 |
| Perf / dollar | — | 57.2 |
| Terminal-Bench 2.1 | — | 85.8 |
| AutoBench | — | 30.4 |
| Independent composite scores each on its own scale — not part of the average above | ||
| AA Intelligence Index | — | 56 |
| AA Agentic Index | — | 45.1 |
| AA-Omniscience Index (−100–100) | — | 26.5 |
| GDPval-AA v2 | — | 1517.8 ELO |
| LMSYS Chatbot Arena | — | 1490 ELO |
| Providers | ||
| Available from |
Alibaba — $0.150/$0.470/Mtok
|
Google — $0.750/$3.75/Mtok
|
Cost at scale
1M tokens · 50/50 input/output| Volume | Qwen3.8-Flash | Gemini 3.7 Flash | Savings |
|---|---|---|---|
| 1M tokens | $0.23 | $1.5 | $1.27 (84.7%) |
| 10M tokens | $2.3 | $15 | $12.7 (84.7%) |
| 100M tokens | $23 | $150 | $127 (84.7%) |
| 1000M tokens | $230 | $1500 | $1270 (84.7%) |
When to pick which
distilled from the pricing and spec data above- cost dominates: $0.230/Mtok blended vs $1.50 — 84.7% less on the same 50/50 token mix
- your workload re-reads context (agents, RAG, long chats): cached input costs $0.075/Mtok — 90% off its list input price, a discount Qwen3.8-Flash doesn't offer
The cheaper option here — Qwen3.8-Flash costs $0.230/Mtok blended on Alibaba.
Summary
Qwen3.8-Flash by Alibaba costs $0.150/Mtok input and $0.470/Mtok output, with a 1M-token context window. It supports text input.
Gemini 3.7 Flash by Google costs $0.750/Mtok input and $3.75/Mtok output, with a 1M-token context window. It supports text, image, audio, video input.
On a blended cost basis, Qwen3.8-Flash is 84.7% cheaper than Gemini 3.7 Flash.
The two aren't directly comparable on average benchmark score: Gemini 3.7 Flash has published per-benchmark results, while Qwen3.8-Flash does not yet.
Note: Pricing is per million tokens. Actual costs vary with usage patterns, prompt caching, and batch discounts. Always verify against official provider pricing pages.