Devstral 2 123B Instruct 2512 vs GLM 5V Turbo
At a Glance
| Compare | Devstral 2 123B Instruct 2512Mistral AI | GLM 5V TurboZ.ai |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.44Openrouter ↗ · Aug 29, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $2.20Openrouter ↗ · Aug 29, 2026 | Not reported |
| Context windowMaximum documented tokens | 262K | 200K |
| Model facts checked | Aug 28, 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 | Devstral-2-123B-Instruct-2512 | GLM-5V-Turbo |
|---|---|---|
| Developer | Mistral AI | Z.ai |
| Family | Devstral 2 123b Instruct 2512 | Glm 5v |
| Model | Devstral-2-123B-Instruct-2512 | GLM-5V-Turbo |
| Version | Devstral-2-123B-Instruct-2512 | GLM-5V-Turbo |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Document |
| Output modalities | Text | Text |
| Context window | 262K | 200K |
| Total parameters | 125B | Unknown |
| Active parameters | Unknown | Unknown |
| License | other | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Openrouter (Standard) | Z.ai (Standard) |
| Capabilities | chat, generation, tools | agents, chat, computer-use, reasoning, tools, vision |
Devstral 2 123B Instruct 2512 Capabilities
GLM 5V Turbo Capabilities
Primary Evidence
Sources and Freshness
Questions
Devstral 2 123B Instruct 2512 vs GLM 5V Turbo FAQs
Is Devstral 2 123B Instruct 2512 or GLM 5V Turbo better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Devstral 2 123B Instruct 2512 and GLM 5V Turbo, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Devstral 2 123B Instruct 2512 or GLM 5V Turbo?+
Only Devstral 2 123B Instruct 2512 has a directly sourced input price: $0.44 per million tokens. Only Devstral 2 123B Instruct 2512 has a directly sourced output price: $2.20 per million tokens.
Which has a larger context window, Devstral 2 123B Instruct 2512 or GLM 5V Turbo?+
Devstral 2 123B Instruct 2512 has the larger sourced context window. Devstral 2 123B Instruct 2512 supports 262K and GLM 5V Turbo supports 200K.
Which performs better in benchmarks, Devstral 2 123B Instruct 2512 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 Devstral 2 123B Instruct 2512 or GLM 5V Turbo be self-hosted?+
Devstral 2 123B Instruct 2512 is the only model in this pair currently marked as self-hostable. Devstral 2 123B Instruct 2512 is open weight; GLM 5V Turbo is not marked open weight.
Can Devstral 2 123B Instruct 2512 and GLM 5V Turbo understand images?+
Devstral 2 123B Instruct 2512 is not 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, Devstral 2 123B Instruct 2512 or GLM 5V Turbo?+
Neither has a larger sourced maximum output. Devstral 2 123B Instruct 2512 is — and GLM 5V Turbo is 131K.
Do Devstral 2 123B Instruct 2512 and GLM 5V Turbo support reasoning and tool use?+
Devstral 2 123B Instruct 2512: tool calling. GLM 5V Turbo: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Devstral 2 123B Instruct 2512 or GLM 5V Turbo?+
Devstral 2 123B Instruct 2512 has 1 sourced provider route; GLM 5V Turbo has 1, a tie.
Which offers better value, Devstral 2 123B Instruct 2512 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.