GLM-5 Turbo vs Mistral Large 2 (2407)
GLM-5 Turbo (2026) and Mistral Large 2 (2407) (2024) are frontier reasoning models from Zhipu AI and MistralAI. GLM-5 Turbo ships a 200K-token context window, while Mistral Large 2 (2407) ships a 128K-token context window. On pricing, Mistral Large 2 (2407) costs $0.50/1M 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.
Mistral Large 2 (2407) is ~140% cheaper at $0.50/1M; pay for GLM-5 Turbo only for reasoning depth.
Decision scorecard
Local evidence first| Signal | GLM-5 Turbo | Mistral Large 2 (2407) |
|---|---|---|
| Best for | reasoning-heavy apps, tool-calling agents, and provider-routed production | tool-calling agents and provider-routed production |
| Decision fit | RAG, Agents, and Long context | Coding, RAG, and Agents |
| Context window | 200K | 128K |
| Cheapest output | $4/1M tokens | $1.50/1M tokens |
| Provider routes | 2 tracked | 7 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 uniquely exposes Reasoning in local model data.
- Local decision data tags GLM-5 Turbo for RAG, Agents, and Long context.
- Mistral Large 2 (2407) has the lower cheapest tracked output price at $1.50/1M tokens.
- Mistral Large 2 (2407) has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags Mistral Large 2 (2407) 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
Mistral Large 2 (2407)
$775
Cheapest tracked route/tier: Chutes AI
Estimated monthly gap: $1,185. 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.
- Mistral Large 2 (2407) is $2.50/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning before moving production traffic.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- GLM-5 Turbo is $2.50/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GLM-5 Turbo adds Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-01 | 2024-07-24 |
| Context window | 200K | 128K |
| Parameters | 744B total, 40B active | 123B |
| Architecture | Mixture of Experts | Decoder Only |
| License | MITOSI-approved | Mistral License |
| Openness | Open source | Open weights |
| Weights | Unknown | Available |
| Code | Unknown | Unknown |
| Commercial use | Permitted | Not permitted |
| Knowledge cutoff | 2025-11 | 2024-03 |
Pricing and availability
| Pricing attribute | GLM-5 Turbo | Mistral Large 2 (2407) |
|---|---|---|
| Input price | $1.20/1M tokens | $0.50/1M tokens |
| Output price | $4/1M tokens | $1.50/1M tokens |
| Providers |
Capabilities
| Capability | GLM-5 Turbo | Mistral Large 2 (2407) |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | No |
| 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.
Deep dive
The capability footprint differs most on reasoning mode: GLM-5 Turbo and JSON / Tool use: GLM-5 Turbo. Both models share JSON / Tool use and structured outputs, 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, GLM-5 Turbo lists $1.20/1M input and $4/1M output tokens on the cheapest tracked provider, while Mistral Large 2 (2407) lists $0.50/1M input and $1.50/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral Large 2 (2407) lower by about $1.24 per million blended tokens. Availability is 2 providers versus 7, so concentration risk also matters.
Choose GLM-5 Turbo when reasoning depth and larger context windows are central to the workload. Choose Mistral Large 2 (2407) when provider fit, lower input-token cost, 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. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, GLM-5 Turbo or Mistral Large 2 (2407)?
GLM-5 Turbo supports 200K tokens, while Mistral Large 2 (2407) supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, GLM-5 Turbo or Mistral Large 2 (2407)?
Mistral Large 2 (2407) is cheaper on tracked token pricing. GLM-5 Turbo costs $1.20/1M input and $4/1M output tokens. Mistral Large 2 (2407) costs $0.50/1M input and $1.50/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GLM-5 Turbo or Mistral Large 2 (2407) open source?
GLM-5 Turbo is listed under MIT. Mistral Large 2 (2407) is listed under Mistral License. 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 Mistral Large 2 (2407)?
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 JSON / Tool use, GLM-5 Turbo or Mistral Large 2 (2407)?
Both GLM-5 Turbo and Mistral Large 2 (2407) expose JSON / Tool use. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run GLM-5 Turbo and Mistral Large 2 (2407)?
GLM-5 Turbo is available on OpenRouter and Vercel AI Gateway. Mistral Large 2 (2407) is available on Microsoft Foundry, IBM watsonx, OpenRouter, AWS Bedrock, and Chutes AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-10-17. Data sourced from public model cards and provider documentation.