Qwen3 Coder Next is $0.04 cheaper per 1M input tokens (26.7% lower; 1.36x difference).
API cost decision in 10 seconds
Qwen3.6 35B A3B vs Qwen3 Coder Next
Pick Qwen3 Coder Next when budget is the priority.
Budget verdict
Pick Qwen3 Coder Next when budget is the priority.
On the standard 1M input plus 500K output workload, Qwen3 Coder Next is estimated at $0.51 vs $0.65 for Qwen3.6 35B A3B, saving $0.14 (21.5% lower).
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $1.4. Use the calculator below to replace the sample workload with your own token volume.
Qwen3 Coder Next is $0.2 cheaper per 1M output tokens (20% lower; 1.25x difference).
Both models report the same context window at 262.14K tokens.
Qwen3 Coder Next is $0.14 cheaper on the standard workload (21.5% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
Qwen3 Coder Next has the lower input price; Qwen3 Coder Next has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Qwen3 Coder Next is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.65 for Qwen3.6 35B A3B and $0.51 for Qwen3 Coder Next.
Choose Qwen3.6 35B A3B when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose Qwen3 Coder Next when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Qwen3 Coder Next is estimated at $0.51 vs $0.65 for Qwen3.6 35B A3B, saving $0.14 (21.5% lower).
- Qwen3 Coder Next is $0.14 cheaper on the standard workload (21.5% lower).
- Qwen3 Coder Next is $0.04 cheaper per 1M input tokens (26.7% lower; 1.36x difference).
- Qwen3 Coder Next is $0.2 cheaper per 1M output tokens (20% lower; 1.25x difference).
- Both models report the same context window at 262.14K tokens.
| Feature | Qwen3.6 35B A3B (Qwen) | Qwen3 Coder Next (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.15 | $0.11 |
| Completion Price per 1M tokens | $1 | $0.8 |
| Sample Workload Cost 1M input + 500K output | $0.65 | $0.51 |
| Context Window | 262.14K | 262.14K |
| Release Date | ||
| Popularity Rank current rank | Unranked | Unranked |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3 Coder Next | On the standard 1M input plus 500K output workload, Qwen3 Coder Next is estimated at $0.51 vs $0.65 for Qwen3.6 35B A3B, saving $0.14 (21.5% lower). |
| High-volume input processing | Qwen3 Coder Next | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3 Coder Next | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Tie | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3.6 35B A3B when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3.6 35B A3B when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3.6 35B A3B when lower sample workload cost matters most: $0.09.
- Qwen3.5-9B can replace Qwen3.6 35B A3B when lower sample workload cost matters most: $0.11.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash offers 1.05M context with $0.22 sample workload cost.
- Gemini 2.5 Flash Lite offers 1.05M context with $0.3 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
Review low-cost models ranked by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
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Open provider hubsQwen catalog
Review all tracked Qwen models before deciding whether this matchup is the right shortlist.
Open Qwen modelsQwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of-experts architecture combining Gated...
Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per...