GPT-5 nano vs Qwen3-Coder-Next
Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.
OpenAI · Aug 2025
OpenAI's cheapest model — $0.05 per million input tokens — for latency-critical routing, autocomplete and bulk tagging.
Alibaba (Qwen) · Feb 2026
The 2026 open coding specialist: 70.6% SWE-bench Verified under Apache 2.0 from $0.11 per million input tokens.
The verdict
These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. GPT-5 nano is about 2.1x cheaper per blended million tokens (3:1 input:output mix). GPT-5 nano also takes 400K of context versus 262K for Qwen3-Coder-Next. And Qwen3-Coder-Next is open-weights (Apache 2.0), so it can be self-hosted — a structural advantage if data control or vendor independence matters.
Specs & pricing
| GPT-5 nano | Qwen3-Coder-Next | |
|---|---|---|
| modhub Index | — | — |
| Input price / 1M | $0.05 | $0.11 |
| Output price / 1M | $0.4 | $0.8 |
| Context window | 400K | 262K |
| Max output | 128K | 66K |
| Open weights | no | yes (Apache 2.0) |
| Reasoning model | yes | yes |
| Multimodal input | text, image | text |
| Knowledge cutoff | May 2024 | Nov 2025 |
| Released | Aug 2025 | Feb 2026 |
| Example monthly cost* | $1.10 | $2.30 |
* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.
Frequently asked questions
- Which is better, GPT-5 nano or Qwen3-Coder-Next?
- These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. GPT-5 nano is about 2.1x cheaper per blended million tokens (3:1 input:output mix). GPT-5 nano also takes 400K of context versus 262K for Qwen3-Coder-Next. And Qwen3-Coder-Next is open-weights (Apache 2.0), so it can be self-hosted — a structural advantage if data control or vendor independence matters.
- Which is cheaper, GPT-5 nano or Qwen3-Coder-Next?
- GPT-5 nano costs $0.05/$0.4 per million input/output tokens, while Qwen3-Coder-Next costs $0.11/$0.8. For a typical workload of 10M input and 1.5M output tokens per month, that's $1.10 versus $2.30.
- Which model is better for coding, GPT-5 nano or Qwen3-Coder-Next?
- We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.