AutoGLM Phone 9B Multilingual vs Qwen3.5-9B
AutoGLM Phone 9B Multilingual (2025) and Qwen3.5-9B (2026) are compact production models from Zhipu AI and Alibaba. AutoGLM Phone 9B Multilingual ships a 66k-token context window, while Qwen3.5-9B ships a 262k-token context window. On pricing, AutoGLM Phone 9B Multilingual costs $0.04/1M input tokens versus $0.10/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
AutoGLM Phone 9B Multilingual is ~186% cheaper at $0.04/1M; pay for Qwen3.5-9B only for long-context analysis.
Decision scorecard
Local evidence first| Signal | AutoGLM Phone 9B Multilingual | Qwen3.5-9B |
|---|---|---|
| Best for | multimodal apps and tool-calling agents | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | Agents, Vision, and JSON / Tool use | RAG, Agents, and Long context |
| Context window | 66k | 262k |
| Cheapest output | $0.14/1M tokens | $0.15/1M tokens |
| Provider routes | 1 tracked | 3 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- AutoGLM Phone 9B Multilingual has the lower cheapest tracked output price at $0.14/1M tokens.
- Local decision data tags AutoGLM Phone 9B Multilingual for Agents, Vision, and JSON / Tool use.
- Qwen3.5-9B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3.5-9B has broader tracked provider coverage for fallback and procurement flexibility.
- Qwen3.5-9B uniquely exposes Structured outputs in local model data.
- Local decision data tags Qwen3.5-9B for RAG, Agents, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
AutoGLM Phone 9B Multilingual
$62.50
Cheapest tracked route/tier: Novita AI
Qwen3.5-9B
$118
Cheapest tracked route/tier: Together AI
Estimated monthly gap: $55.00. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for AutoGLM Phone 9B Multilingual and Qwen3.5-9B; plan for SDK, billing, or endpoint changes.
- Qwen3.5-9B is $0.01/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Qwen3.5-9B adds Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Qwen3.5-9B and AutoGLM Phone 9B Multilingual; plan for SDK, billing, or endpoint changes.
- AutoGLM Phone 9B Multilingual is $0.01/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-08 | 2026-03-02 |
| Context window | 66k | 262k |
| Parameters | 9B | 9B |
| Architecture | decoder only | decoder only |
| License | Open Weights | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | AutoGLM Phone 9B Multilingual | Qwen3.5-9B |
|---|---|---|
| Input price | $0.04/1M tokens | $0.10/1M tokens |
| Output price | $0.14/1M tokens | $0.15/1M tokens |
| Providers |
Capabilities
| Capability | AutoGLM Phone 9B Multilingual | Qwen3.5-9B |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | No | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on structured outputs: Qwen3.5-9B. Both models share vision, multimodal input, function calling, and 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, AutoGLM Phone 9B Multilingual lists $0.04/1M input and $0.14/1M output tokens on the cheapest tracked provider, while Qwen3.5-9B lists $0.10/1M input and $0.15/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts AutoGLM Phone 9B Multilingual lower by about $0.05 per million blended tokens. Availability is 1 providers versus 3, so concentration risk also matters.
Choose AutoGLM Phone 9B Multilingual when vision-heavy evaluation and lower input-token cost are central to the workload. Choose Qwen3.5-9B when long-context analysis, larger context windows, 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. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, AutoGLM Phone 9B Multilingual or Qwen3.5-9B?
Qwen3.5-9B supports 262k tokens, while AutoGLM Phone 9B Multilingual supports 66k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, AutoGLM Phone 9B Multilingual or Qwen3.5-9B?
AutoGLM Phone 9B Multilingual is cheaper on tracked token pricing. AutoGLM Phone 9B Multilingual costs $0.04/1M input and $0.14/1M output tokens. Qwen3.5-9B costs $0.10/1M input and $0.15/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is AutoGLM Phone 9B Multilingual or Qwen3.5-9B open source?
AutoGLM Phone 9B Multilingual is listed under Open Weights. Qwen3.5-9B 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, AutoGLM Phone 9B Multilingual or Qwen3.5-9B?
Both AutoGLM Phone 9B Multilingual and Qwen3.5-9B 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, AutoGLM Phone 9B Multilingual or Qwen3.5-9B?
Both AutoGLM Phone 9B Multilingual and Qwen3.5-9B expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run AutoGLM Phone 9B Multilingual and Qwen3.5-9B?
AutoGLM Phone 9B Multilingual is available on Novita AI. Qwen3.5-9B is available on Together AI, OpenRouter, and Alibaba Cloud PAI-EAS. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.