AutoGLM Phone 9B Multilingual vs GLM-5
AutoGLM Phone 9B Multilingual (2025) and GLM-5 (2026) are frontier reasoning models from Zhipu AI. AutoGLM Phone 9B Multilingual ships a 66k-token context window, while GLM-5 ships a 200k-token context window. On pricing, AutoGLM Phone 9B Multilingual costs $0.04/1M input tokens versus $0.60/1M 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 ~1614% cheaper at $0.04/1M; pay for GLM-5 only for reasoning depth.
Decision scorecard
Local evidence first| Signal | AutoGLM Phone 9B Multilingual | GLM-5 |
|---|---|---|
| Best for | multimodal apps and tool-calling agents | reasoning-heavy apps, tool-calling agents, and provider-routed production |
| Decision fit | Agents, Vision, and JSON / Tool use | Coding, RAG, and Agents |
| Context window | 66k | 200k |
| Cheapest output | $0.14/1M tokens | $2.08/1M tokens |
| Provider routes | 1 tracked | 7 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.
- AutoGLM Phone 9B Multilingual uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags AutoGLM Phone 9B Multilingual for Agents, Vision, and JSON / Tool use.
- GLM-5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GLM-5 has broader tracked provider coverage for fallback and procurement flexibility.
- GLM-5 uniquely exposes Reasoning and Structured outputs in local model data.
- Local decision data tags GLM-5 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.
AutoGLM Phone 9B Multilingual
$62.50
Cheapest tracked route/tier: Novita AI
GLM-5
$1,000
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $938. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Novita AI; start route-level A/B tests there.
- GLM-5 is $1.94/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
- GLM-5 adds Reasoning and Structured outputs in local capability data.
- Provider overlap exists on Novita AI; start route-level A/B tests there.
- AutoGLM Phone 9B Multilingual is $1.94/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning and Structured outputs before moving production traffic.
- AutoGLM Phone 9B Multilingual adds Vision and Multimodal in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-08 | 2026-02-11 |
| Context window | 66k | 200k |
| Parameters | 9B | 744B total, 40B active |
| Architecture | decoder only | mixture of experts |
| License | Open Source | MIT |
| Knowledge cutoff | - | 2025-11 |
Pricing and availability
| Pricing attribute | AutoGLM Phone 9B Multilingual | GLM-5 |
|---|---|---|
| Input price | $0.04/1M tokens | $0.60/1M tokens |
| Output price | $0.14/1M tokens | $2.08/1M tokens |
| Providers |
Capabilities
| Capability | AutoGLM Phone 9B Multilingual | GLM-5 |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | Yes |
| 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 vision: AutoGLM Phone 9B Multilingual, multimodal input: AutoGLM Phone 9B Multilingual, reasoning mode: GLM-5, and structured outputs: GLM-5. Both models share 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 GLM-5 lists $0.60/1M input and $2.08/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts AutoGLM Phone 9B Multilingual lower by about $0.98 per million blended tokens. Availability is 1 providers versus 7, 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 GLM-5 when reasoning depth, 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.
FAQ
Which has a larger context window, AutoGLM Phone 9B Multilingual or GLM-5?
GLM-5 supports 200k 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 GLM-5?
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. GLM-5 costs $0.60/1M input and $2.08/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is AutoGLM Phone 9B Multilingual or GLM-5 open source?
AutoGLM Phone 9B Multilingual is listed under Open Source. GLM-5 is listed under MIT. 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 GLM-5?
AutoGLM Phone 9B Multilingual 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, AutoGLM Phone 9B Multilingual or GLM-5?
AutoGLM Phone 9B Multilingual 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.
Where can I run AutoGLM Phone 9B Multilingual and GLM-5?
AutoGLM Phone 9B Multilingual is available on Novita AI. GLM-5 is available on Fireworks AI, OpenRouter, Together AI, GCP Vertex AI, and NVIDIA NIM. 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.