GLM-5.1 vs Qwen2-7B-Instruct
GLM-5.1 (2026) and Qwen2-7B-Instruct (2024) are frontier reasoning models from Zhipu AI and Alibaba. GLM-5.1 ships a 200k-token context window, while Qwen2-7B-Instruct ships a 128k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.
GLM-5.1 is safer overall; choose Qwen2-7B-Instruct when provider fit matters.
Decision scorecard
Local evidence first| Signal | GLM-5.1 | Qwen2-7B-Instruct |
|---|---|---|
| Best for | reasoning-heavy apps, tool-calling agents, and provider-routed production | general production evaluation |
| Decision fit | Coding, RAG, and Agents | Long context |
| Context window | 200k | 128k |
| Cheapest output | $3.50/1M tokens | - |
| Provider routes | 5 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- GLM-5.1 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GLM-5.1 has broader tracked provider coverage for fallback and route flexibility.
- GLM-5.1 uniquely exposes Reasoning, JSON / Tool use, and Structured outputs in local model data.
- Local decision data tags GLM-5.1 for Coding, RAG, and Agents.
- Local decision data tags Qwen2-7B-Instruct for Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GLM-5.1
$1,715
Cheapest tracked route/tier: OpenRouter
Qwen2-7B-Instruct
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for GLM-5.1 and Qwen2-7B-Instruct; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning, JSON / Tool use, and Structured outputs before moving production traffic.
- No overlapping tracked provider route is sourced for Qwen2-7B-Instruct and GLM-5.1; plan for SDK, billing, or endpoint changes.
- GLM-5.1 adds Reasoning, JSON / Tool use, and Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-07 | 2024-06-07 |
| Context window | 200k | 128k |
| Parameters | 754B total, 40B active | 7B |
| Architecture | Mixture of Experts | Decoder Only |
| License | MITOSI-approved | Apache 2.0OSI-approved |
| Openness | Open source | Open source |
| Weights | Available | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: permitted |
| Knowledge cutoff | 2025-11 | - |
Pricing and availability
| Pricing attribute | GLM-5.1 | Qwen2-7B-Instruct |
|---|---|---|
| Input price | $1.05/1M tokens | - |
| Output price | $3.50/1M tokens | - |
| Providers |
Capabilities
| Capability | GLM-5.1 | Qwen2-7B-Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | No |
| JSON / Tool use | Yes | No |
| Structured outputs | Yes | No |
| Code execution | Yes | 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: 2026-06-30. Data sourced from public model cards and provider documentation.