GLM-5 Turbo vs Together AI Qwen2-7B-Instruct
GLM-5 Turbo (2026) and Together AI Qwen2-7B-Instruct (2024) are frontier reasoning models from Zhipu AI and Alibaba. GLM-5 Turbo ships a 200k-token context window, while Together AI Qwen2-7B-Instruct ships a 33k-token context window. On pricing, Together AI Qwen2-7B-Instruct costs $0.15/1M 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.
Together AI Qwen2-7B-Instruct is ~700% cheaper at $0.15/1M; pay for GLM-5 Turbo only for reasoning depth.
Decision scorecard
Local evidence first| Signal | GLM-5 Turbo | Together AI Qwen2-7B-Instruct |
|---|---|---|
| Best for | reasoning-heavy apps, tool-calling agents, and provider-routed production | general production evaluation |
| Decision fit | RAG, Agents, and Long context | Classification and JSON / Tool use |
| Context window | 200k | 33k |
| Cheapest output | $4/1M tokens | $0.15/1M tokens |
| Provider routes | 2 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- GLM-5 Turbo has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GLM-5 Turbo has broader tracked provider coverage for fallback and route flexibility.
- GLM-5 Turbo uniquely exposes Reasoning and JSON / Tool use in local model data.
- Local decision data tags GLM-5 Turbo for RAG, Agents, and Long context.
- Together AI Qwen2-7B-Instruct has the lower cheapest tracked output price at $0.15/1M tokens.
- Local decision data tags Together AI Qwen2-7B-Instruct for Classification and JSON / Tool use.
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
Together AI Qwen2-7B-Instruct
$158
Cheapest tracked route/tier: Together AI
Estimated monthly gap: $1,803. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for GLM-5 Turbo and Together AI Qwen2-7B-Instruct; plan for SDK, billing, or endpoint changes.
- Together AI Qwen2-7B-Instruct is $3.85/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning and JSON / Tool use before moving production traffic.
- No overlapping tracked provider route is sourced for Together AI Qwen2-7B-Instruct and GLM-5 Turbo; plan for SDK, billing, or endpoint changes.
- GLM-5 Turbo is $3.85/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GLM-5 Turbo adds Reasoning and JSON / Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-01 | 2024-06-07 |
| Context window | 200k | 33k |
| Parameters | 744B total, 40B active | 7B |
| Architecture | Mixture of Experts | Decoder Only |
| License | MITOSI-approved | Apache 2.0OSI-approved |
| Openness | Open source | Open source |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: permitted |
| Knowledge cutoff | 2025-11 | - |
Pricing and availability
| Pricing attribute | GLM-5 Turbo | Together AI Qwen2-7B-Instruct |
|---|---|---|
| Input price | $1.20/1M tokens | $0.15/1M tokens |
| Output price | $4/1M tokens | $0.15/1M tokens |
| Providers |
Capabilities
| Capability | GLM-5 Turbo | Together AI Qwen2-7B-Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | No |
| JSON / Tool use | Yes | No |
| 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.