Qwen3.8-Flash vs GPT-5 nano
Side-by-side comparison of API pricing, specs, benchmarks, and capabilities
GPT-5 nano is 40.2% cheaper on blended cost ($0.138 vs $0.230/Mtok)
| Specification |
by Alibaba
|
by OpenAI
|
|---|---|---|
| Overview | ||
| Status | Current budget | Current budget |
| Released | Aug 26, 2026 | Aug 7, 2025 |
| Pricing per million tokens | ||
| Input | $0.150/Mtok | $0.050/Mtok |
| Output | $0.470/Mtok | $0.400/Mtok |
| Blended avg | $0.230/Mtok | $0.138/Mtok |
| Cached input | — | $0.005/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. | — |
| Specifications | ||
| Context window | 1M tokens | 400K tokens |
| Parameters | Proprietary | Proprietary |
| Speed (TPS) | — | — |
| Modalities | ||
| Input |
text
|
textimage
|
| Benchmarks sources: n/a / Artificial Analysis | ||
| Independent composite scores each on its own scale — not part of the average above | ||
| AA-Omniscience Index (−100–100) | — | -28.7 |
| Providers | ||
| Available from |
Alibaba — $0.150/$0.470/Mtok
|
OpenAI — $0.050/$0.400/Mtok
|
Cost at scale
1M tokens · 50/50 input/output| Volume | Qwen3.8-Flash | GPT-5 nano | Savings |
|---|---|---|---|
| 1M tokens | $0.23 | $0.14 | $0.09 (39.1%) |
| 10M tokens | $2.3 | $1.38 | $0.92 (40%) |
| 100M tokens | $23 | $13.75 | $9.25 (40.2%) |
| 1000M tokens | $230 | $137.5 | $92.5 (40.2%) |
When to pick which
distilled from the pricing and spec data above
Pick Qwen3.8-Flash if…
- you need the longer context: 1M tokens vs 400K (2.5×)
Pick GPT-5 nano if…
- cost dominates: $0.138/Mtok blended vs $0.230 — 40.2% less on the same 50/50 token mix
- your workload re-reads context (agents, RAG, long chats): cached input costs $0.005/Mtok — 90% off its list input price, a discount Qwen3.8-Flash doesn't offer
Try GPT-5 nano on OpenAI
The cheaper option here — GPT-5 nano costs $0.138/Mtok blended on OpenAI.
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.
GPT-5 nano by OpenAI costs $0.050/Mtok input and $0.400/Mtok output, with a 400K-token context window. It supports text, image input.
On a blended cost basis, GPT-5 nano is 40.2% cheaper than Qwen3.8-Flash.
Note: Pricing is per million tokens. Actual costs vary with usage patterns, prompt caching, and batch discounts. Always verify against official provider pricing pages.
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