Qwen3-Max vs Qwen3.6-35B-A3B
Qwen3-Max (2025) and Qwen3.6-35B-A3B (2026) compare a standalone API model against a coding-specialized model. Both ship a 256K-token context window. On SWE-bench Verified, Qwen3-Max leads by 5.4 pts. On pricing, Qwen3-Max ranges from $1.20 to $3/1M input tokens by tier; Qwen3.6-35B-A3B costs $0.15/1M input tokens. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: Qwen3-Max is standalone API model, while Qwen3.6-35B-A3B is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | Qwen3-Max | Qwen3.6-35B-A3B |
|---|---|---|
| Product type | Standalone API model | Coding-specialized model |
| Best for | multimodal apps, tool-calling agents, and provider-routed production | custom coding agents, code generation, and tool loops |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 256K | 256K |
| Cheapest output | $6/1M tokens | $1/1M tokens |
| Provider routes | 3 tracked | 3 tracked |
| Shared benchmarks | SWE-bench Verified leader | 1 shared |
Decision tradeoffs
- Qwen3-Max holds a shared-benchmark lead on SWE-bench Verified, ahead by 5.4 points.
- Qwen3-Max uniquely exposes Structured outputs in local model data.
- Local decision data tags Qwen3-Max for Coding, RAG, and Agents.
- Qwen3.6-35B-A3B has the lower cheapest tracked output price at $1/1M tokens.
- Local decision data tags Qwen3.6-35B-A3B for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Qwen3-Max
$2,460
Cheapest tracked route/tier: Vercel AI Gateway 0-32,001t
Qwen3.6-35B-A3B
$370
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $2,090. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter and Novita AI; start route-level A/B tests there.
- Qwen3.6-35B-A3B is $5/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Structured outputs before moving production traffic.
- Provider overlap exists on OpenRouter and Novita AI; start route-level A/B tests there.
- Qwen3-Max is $5/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Qwen3-Max adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-28 | 2026-04-16 |
| Context window | 256K | 256K |
| Parameters | — | 35B |
| Architecture | Decoder Only | Mixture of Experts |
| License | Proprietary | Apache 2.0OSI-approved |
| Openness | Proprietary | Open source |
| Weights | Not released | Available |
| Code | Unknown | Unknown |
| Commercial use | Restricted | Permitted |
| Knowledge cutoff | 2025-12 | - |
Pricing and availability
| Pricing attribute | Qwen3-Max | Qwen3.6-35B-A3B |
|---|---|---|
| Input price |
| $0.15/1M tokens |
| Output price |
| $1/1M tokens |
| Providers |
Capabilities
| Capability | Qwen3-Max | Qwen3.6-35B-A3B |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| JSON / Tool use | Yes | Yes |
| Structured outputs | Yes | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Qwen3-Max | Qwen3.6-35B-A3B |
|---|---|---|
| SWE-bench Verified | 78.8 | 73.4 |
Deep dive
On shared benchmark coverage, SWE-bench Verified has Qwen3-Max at 78.8 and Qwen3.6-35B-A3B at 73.4, with Qwen3-Max ahead by 5.4 points. The largest visible gap is 5.4 points on SWE-bench Verified, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on structured outputs: Qwen3-Max. Both models share vision, multimodal input, JSON / Tool use, and JSON / Tool use, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, Qwen3-Max lists tiered pricing: 0-32,001t is $1.20/1M input and $6/1M output; 0-128,001t is $2.40/1M input and $12/1M output; 128,001t+ is $3/1M input and $15/1M output, while Qwen3.6-35B-A3B lists $0.15/1M input and $1/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen3.6-35B-A3B lower by about $2.23 per million blended tokens. For tiered rows, this cheapest-track view can understate interactive or fast-lane spend, so compare the tier you will actually use. Availability is 3 providers versus 3, so concentration risk also matters.
Choose Qwen3-Max when vision-heavy evaluation are central to the workload. Choose Qwen3.6-35B-A3B when coding workflow support and lower input-token cost are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, Qwen3-Max or Qwen3.6-35B-A3B?
Qwen3-Max supports 256K tokens, while Qwen3.6-35B-A3B supports 256K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is cheaper, Qwen3-Max or Qwen3.6-35B-A3B?
Qwen3-Max lists tiered pricing: 0-32,001t is $1.20/1M input and $6/1M output; 0-128,001t is $2.40/1M input and $12/1M output; 128,001t+ is $3/1M input and $15/1M output. Qwen3.6-35B-A3B lists $0.15/1M input and $1/1M output tokens on the cheapest tracked provider. Compare the tier you will actually use; cheap async pricing can overstate savings for interactive workflows. Provider discounts or batch pricing can still change the final bill.
Is Qwen3-Max or Qwen3.6-35B-A3B open source?
Qwen3-Max is listed under Proprietary. Qwen3.6-35B-A3B is listed under Apache 2.0. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Qwen3-Max or Qwen3.6-35B-A3B?
Both Qwen3-Max and Qwen3.6-35B-A3B expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Qwen3-Max or Qwen3.6-35B-A3B?
Both Qwen3-Max and Qwen3.6-35B-A3B expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Where can I run Qwen3-Max and Qwen3.6-35B-A3B?
Qwen3-Max is available on OpenRouter, Vercel AI Gateway, and Novita AI. Qwen3.6-35B-A3B is available on OpenRouter, Novita AI, and Yandex AI Studio. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-10-17. Data sourced from public model cards and provider documentation.