GLM-5 Turbo vs Qwen3.5-122B-A10B
GLM-5 Turbo (2026) and Qwen3.5-122B-A10B (2026) are frontier-tier reasoning models from Zhipu AI and Alibaba. GLM-5 Turbo ships a 200k-token context window, while Qwen3.5-122B-A10B ships a 262k-token context window. On pricing, Qwen3.5-122B-A10B costs $0.26/1M input tokens versus $1.20/1M 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.
Qwen3.5-122B-A10B is ~362% cheaper at $0.26/1M; pay for GLM-5 Turbo only for provider fit.
Decision scorecard
Local evidence first| Signal | GLM-5 Turbo | Qwen3.5-122B-A10B |
|---|---|---|
| Best for | reasoning-heavy apps, tool-calling agents, and provider-routed production | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | RAG, Agents, and Long context | Coding, RAG, and Agents |
| Context window | 200k | 262k |
| Cheapest output | $4/1M tokens | $2.08/1M tokens |
| Provider routes | 2 tracked | 3 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Local decision data tags GLM-5 Turbo for RAG, Agents, and Long context.
- Qwen3.5-122B-A10B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3.5-122B-A10B has the lower cheapest tracked output price at $2.08/1M tokens.
- Qwen3.5-122B-A10B has broader tracked provider coverage for fallback and route flexibility.
- Qwen3.5-122B-A10B uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Qwen3.5-122B-A10B 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.
GLM-5 Turbo
$1,960
Cheapest tracked route/tier: OpenRouter
Qwen3.5-122B-A10B
$728
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $1,232. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Qwen3.5-122B-A10B is $1.92/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Qwen3.5-122B-A10B adds Vision and Multimodal in local capability data.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- GLM-5 Turbo is $1.92/1M 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.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-01 | 2026-02-24 |
| Context window | 200k | 262k |
| Parameters | 744B total, 40B active | 122B |
| Architecture | Mixture of Experts | Mixture of Experts |
| License | MITOSI-approved | Apache 2.0OSI-approved |
| Openness | Open source | Open source |
| Weights | Unknown | Available |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: permitted |
| Knowledge cutoff | 2025-11 | - |
Pricing and availability
| Pricing attribute | GLM-5 Turbo | Qwen3.5-122B-A10B |
|---|---|---|
| Input price | $1.20/1M tokens | $0.26/1M tokens |
| Output price | $4/1M tokens | $2.08/1M tokens |
| Providers |
Capabilities
| Capability | GLM-5 Turbo | Qwen3.5-122B-A10B |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | Yes | Yes |
| JSON / Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.