Mistral Large 3 vs GLM 5V Turbo
At a Glance
| Compare |  Mistral Large 3Mistral AI |  GLM 5V TurboZ.ai |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | #28 of 5743.0 score · 1/3 sources · single-source provisional · missing LiveBench, ARC-AGI-2 · full-core range 14.3–81.0 | UnrankedNot in the 57-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.25Openrouter ↗ · Oct 19, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $0.75Openrouter ↗ · Oct 19, 2026 | Not reported |
| Context windowMaximum documented tokens | 262K | 200K |
| Model facts checked | Aug 29, 2026View model evidence → | Aug 29, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Mistral Large 3 | GLM-5V-Turbo |
|---|---|---|
| Developer | Mistral AI | Z.ai |
| Family | Mistral Large 3 | Glm 5v |
| Model | Mistral Large 3 | GLM-5V-Turbo |
| Version | Mistral Large 3 | GLM-5V-Turbo |
| Lifecycle | active | active |
| Released | 2025-12-02 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Document | Text, Image, Video, Document |
| Output modalities | Text | Text |
| Context window | 262K | 200K |
| Total parameters | 675B | Unknown |
| Active parameters | 41B | Unknown |
| License | Apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Mistral AI (Standard), Openrouter (Standard) | Z.ai (Standard) |
| Capabilities | agents, chat, generation, structured_outputs, tools, vision | agents, chat, computer-use, reasoning, tools, vision |
Mistral Large 3 Capabilities
GLM 5V Turbo Capabilities
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Primary Evidence
Sources and Freshness
Questions
Mistral Large 3 vs GLM 5V Turbo FAQs
Is Mistral Large 3 or GLM 5V Turbo better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Mistral Large 3 and GLM 5V Turbo, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Mistral Large 3 or GLM 5V Turbo?+
Only Mistral Large 3 has a directly sourced input price: $0.25 per million tokens. Only Mistral Large 3 has a directly sourced output price: $0.75 per million tokens.
Which has a larger context window, Mistral Large 3 or GLM 5V Turbo?+
Mistral Large 3 has the larger sourced context window. Mistral Large 3 supports 262,144 tokens and GLM 5V Turbo supports 200,000 tokens.
Which performs better in benchmarks, Mistral Large 3 or GLM 5V Turbo?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Mistral Large 3 or GLM 5V Turbo be self-hosted?+
Mistral Large 3 is documented as self-hostable; GLM 5V Turbo is documented as not self-hostable. Mistral Large 3 is open weight; GLM 5V Turbo is not marked open weight.
Can Mistral Large 3 and GLM 5V Turbo understand images?+
Mistral Large 3 is documented with image input; GLM 5V Turbo is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Mistral Large 3 or GLM 5V Turbo?+
GLM 5V Turbo has a sourced maximum output of 131,072 tokens; Mistral Large 3's maximum output is not reported. A larger limit cannot be determined.
Do Mistral Large 3 and GLM 5V Turbo support reasoning and tool use?+
Mistral Large 3: tool calling and image input. GLM 5V Turbo: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Mistral Large 3 or GLM 5V Turbo?+
Mistral Large 3 has 2 sourced provider routes; GLM 5V Turbo has 1, so Mistral Large 3 has broader tracked availability.
Which offers better value, Mistral Large 3 or GLM 5V Turbo?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.