API cost decision in 10 seconds

Qwen3.6 35B A3B vs Qwen3 Coder Next

Pick Qwen3 Coder Next when budget is the priority.

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

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).

Cost-first pickQwen3 Coder Next
Context-first pickBoth models
Sample savings$0.1421.5%
10x traffic gap$1.4

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.

Cheaper input Qwen3 Coder Next $0.15 vs $0.11 / 1M

Qwen3 Coder Next is $0.04 cheaper per 1M input tokens (26.7% lower; 1.36x difference).

Cheaper output Qwen3 Coder Next $1 vs $0.8 / 1M

Qwen3 Coder Next is $0.2 cheaper per 1M output tokens (20% lower; 1.25x difference).

Larger context Tie 262.14K vs 262.14K

Both models report the same context window at 262.14K tokens.

Sample workload Qwen3 Coder Next $0.65 vs $0.51

Qwen3 Coder Next is $0.14 cheaper on the standard workload (21.5% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Qwen3.6 35B A3B Calculating… Estimated API cost
Qwen3 Coder Next Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

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

Verdict

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.

Best Fit

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.

Decision Notes
  • 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.
Head-to-Head Specs
FeatureQwen3.6 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 Window262.14K262.14K
Release Date
Popularity Rank
current rank
UnrankedUnranked

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3 Coder NextOn 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 processingQwen3 Coder NextLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen3 Coder NextLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workTieA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

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Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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Open provider hubs

Qwen catalog

Review all tracked Qwen models before deciding whether this matchup is the right shortlist.

Open Qwen models
Qwen3.6 35B A3B

Qwen3.6-35B-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

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...