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GLM-5 Turbo vs Qwen3.5-235B-A22B

GLM-5 Turbo (2026) and Qwen3.5-235B-A22B (2026) are frontier reasoning models from Zhipu AI and Alibaba. GLM-5 Turbo ships a 200k-token context window, while Qwen3.5-235B-A22B ships a 512k-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.

GLM-5 Turbo is safer overall; choose Qwen3.5-235B-A22B when long-context analysis matters.

Specs

Released2026-03-012026-02-24
Context window200k512k
Parameters744B total, 40B active235B
Architecturemixture of expertsMoE
LicenseProprietaryApache 2.0
Knowledge cutoff--

Pricing and availability

GLM-5 TurboQwen3.5-235B-A22B
Input price$1.2/1M tokens-
Output price$4/1M tokens-
Providers-

Capabilities

GLM-5 TurboQwen3.5-235B-A22B
Vision
Multimodal
Reasoning
Function calling
Tool use
Structured outputs
Code execution

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on reasoning mode: GLM-5 Turbo, function calling: GLM-5 Turbo, tool use: GLM-5 Turbo, and structured outputs: GLM-5 Turbo. Both models share the core language-model surface, 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.

Pricing coverage is uneven: GLM-5 Turbo has $1.2/1M input tokens and Qwen3.5-235B-A22B has no token price sourced yet. Provider availability is 1 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose GLM-5 Turbo when reasoning depth and broader provider choice are central to the workload. Choose Qwen3.5-235B-A22B when long-context analysis and larger context windows 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.

FAQ

Which has a larger context window, GLM-5 Turbo or Qwen3.5-235B-A22B?

Qwen3.5-235B-A22B supports 512k tokens, while GLM-5 Turbo supports 200k 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.

Is GLM-5 Turbo or Qwen3.5-235B-A22B open source?

GLM-5 Turbo is listed under Proprietary. Qwen3.5-235B-A22B 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 reasoning mode, GLM-5 Turbo or Qwen3.5-235B-A22B?

GLM-5 Turbo 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.

Which is better for function calling, GLM-5 Turbo or Qwen3.5-235B-A22B?

GLM-5 Turbo has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for tool use, GLM-5 Turbo or Qwen3.5-235B-A22B?

GLM-5 Turbo has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run GLM-5 Turbo and Qwen3.5-235B-A22B?

GLM-5 Turbo is available on OpenRouter. Qwen3.5-235B-A22B is available on the tracked providers still being sourced. 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: 2026-04-24. Data sourced from public model cards and provider documentation.