GLM-5 vs Mistral Large 3 675B Instruct
GLM-5 (2026) and Mistral Large 3 675B Instruct (2025) are frontier reasoning models from Zhipu AI and MistralAI. GLM-5 ships a 200k-token context window, while Mistral Large 3 675B Instruct ships a 128k-token context window. On MMLU PRO, GLM-5 leads by 0.5 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
GLM-5 is safer overall; choose Mistral Large 3 675B Instruct when vision-heavy evaluation matters.
Decision scorecard
Local evidence first| Signal | GLM-5 | Mistral Large 3 675B Instruct |
|---|---|---|
| Best for | reasoning-heavy apps, tool-calling agents, and provider-routed production | multimodal apps and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 200k | 128k |
| Cheapest output | $2.08/1M tokens | $1.50/1M tokens |
| Provider routes | 7 tracked | 6 tracked |
| Shared benchmarks | MMLU PRO leader | 4 shared |
Decision tradeoffs
- GLM-5 holds a shared-benchmark lead on MMLU PRO, ahead by 0.5 points.
- GLM-5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GLM-5 has broader tracked provider coverage for fallback and route flexibility.
- GLM-5 uniquely exposes Reasoning and JSON / Tool use in local model data.
- Local decision data tags GLM-5 for Coding, RAG, and Agents.
- Mistral Large 3 675B Instruct holds a shared-benchmark lead on LiveCodeBench, ahead by 0.9 points.
- Mistral Large 3 675B Instruct has the lower cheapest tracked output price at $1.50/1M tokens.
- Mistral Large 3 675B Instruct uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Mistral Large 3 675B Instruct 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
$1,000
Cheapest tracked route/tier: OpenRouter
Mistral Large 3 675B Instruct
$775
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $225. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter, NVIDIA NIM, and Vercel AI Gateway; start route-level A/B tests there.
- Mistral Large 3 675B Instruct is $0.58/1M 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.
- Mistral Large 3 675B Instruct adds Vision and Multimodal in local capability data.
- Provider overlap exists on OpenRouter, NVIDIA NIM, and Vercel AI Gateway; start route-level A/B tests there.
- GLM-5 is $0.58/1M 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.
- GLM-5 adds Reasoning and JSON / Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-02-11 | 2025-12-01 |
| Context window | 200k | 128k |
| Parameters | 744B total, 40B active | 675B |
| 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 | 2024-11 |
Pricing and availability
| Pricing attribute | GLM-5 | Mistral Large 3 675B Instruct |
|---|---|---|
| Input price | $0.60/1M tokens | $0.50/1M tokens |
| Output price | $2.08/1M tokens | $1.50/1M tokens |
| Providers |
Capabilities
| Capability | GLM-5 | Mistral Large 3 675B Instruct |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| 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
| Benchmark | GLM-5 | Mistral Large 3 675B Instruct |
|---|---|---|
| MMLU PRO | 86.0 | 85.5 |
| Google-Proof Q&A | 86.0 | 43.9 |
| LiveCodeBench | 81.9 | 82.8 |
| τ-bench | 82.1 | 70.2 |
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Last reviewed: 2026-06-30. Data sourced from public model cards and provider documentation.