GLM-4 32B vs Qwen3.6 Max Preview
GLM-4 32B (2025) and Qwen3.6 Max Preview (2026) are frontier reasoning models from Tsinghua Knowledge Engineering Group (THUDM) and Alibaba. GLM-4 32B ships a not-yet-sourced context window, while Qwen3.6 Max Preview ships a 256K-token context window. On pricing, GLM-4 32B costs $0.1/1M input tokens versus $1.04/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
GLM-4 32B is ~940% cheaper at $0.1/1M; pay for Qwen3.6 Max Preview only for reasoning depth.
Decision scorecard
Local evidence first| Signal | GLM-4 32B | Qwen3.6 Max Preview |
|---|---|---|
| Decision fit | Classification and JSON / Tool use | RAG, Agents, and Long context |
| Context window | — | 256K |
| Cheapest output | $0.1/1M tokens | $6.24/1M tokens |
| Provider routes | 1 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- GLM-4 32B has the lower cheapest tracked output price at $0.1/1M tokens.
- Local decision data tags GLM-4 32B for Classification and JSON / Tool use.
- Qwen3.6 Max Preview has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3.6 Max Preview has broader tracked provider coverage for fallback and procurement flexibility.
- Qwen3.6 Max Preview uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags Qwen3.6 Max Preview for RAG, Agents, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
GLM-4 32B
$105
Cheapest tracked route: OpenRouter
Qwen3.6 Max Preview
$2,392
Cheapest tracked route: OpenRouter
Estimated monthly gap: $2,287. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Qwen3.6 Max Preview is $6.14/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Qwen3.6 Max Preview adds Vision, Multimodal, and Reasoning in local capability data.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- GLM-4 32B is $6.14/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-03-05 | 2026-04-20 |
| Context window | — | 256K |
| Parameters | 32B | — |
| Architecture | - | moe |
| License | Apache 2.0 | Proprietary |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | GLM-4 32B | Qwen3.6 Max Preview |
|---|---|---|
| Input price | $0.1/1M tokens | $1.04/1M tokens |
| Output price | $0.1/1M tokens | $6.24/1M tokens |
| Providers |
Capabilities
| Capability | GLM-4 32B | Qwen3.6 Max Preview |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | Yes |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Qwen3.6 Max Preview, multimodal input: Qwen3.6 Max Preview, reasoning mode: Qwen3.6 Max Preview, function calling: Qwen3.6 Max Preview, and tool use: Qwen3.6 Max Preview. Both models share structured outputs, 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, GLM-4 32B lists $0.1/1M input and $0.1/1M output tokens, while Qwen3.6 Max Preview lists $1.04/1M input and $6.24/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts GLM-4 32B lower by about $2.5 per million blended tokens. Availability is 1 providers versus 2, so concentration risk also matters.
Choose GLM-4 32B when provider fit and lower input-token cost are central to the workload. Choose Qwen3.6 Max Preview when reasoning depth and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions.
FAQ
Which is cheaper, GLM-4 32B or Qwen3.6 Max Preview?
GLM-4 32B is cheaper on tracked token pricing. GLM-4 32B costs $0.1/1M input and $0.1/1M output tokens. Qwen3.6 Max Preview costs $1.04/1M input and $6.24/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GLM-4 32B or Qwen3.6 Max Preview open source?
GLM-4 32B is listed under Apache 2.0. Qwen3.6 Max Preview is listed under Proprietary. 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, GLM-4 32B or Qwen3.6 Max Preview?
Qwen3.6 Max Preview has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, GLM-4 32B or Qwen3.6 Max Preview?
Qwen3.6 Max Preview has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for reasoning mode, GLM-4 32B or Qwen3.6 Max Preview?
Qwen3.6 Max Preview has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run GLM-4 32B and Qwen3.6 Max Preview?
GLM-4 32B is available on OpenRouter. Qwen3.6 Max Preview is available on OpenRouter and Alibaba Cloud PAI-EAS. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Continue comparing
Last reviewed: 2026-05-12. Data sourced from public model cards and provider documentation.