GLM-5 vs Xiaomi MiMo-V2.5-Pro
GLM-5 (2026) and Xiaomi MiMo-V2.5-Pro (2026) compare a standalone API model against a coding-specialized model. GLM-5 ships a 200k-token context window, while Xiaomi MiMo-V2.5-Pro ships a 1.05m-token context window. On MMLU PRO, GLM-5 leads by 17.5 pts. On pricing, Xiaomi MiMo-V2.5-Pro costs $0.43/1M input tokens versus $0.60/1M for the alternative. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: GLM-5 is standalone API model, while Xiaomi MiMo-V2.5-Pro is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | GLM-5 | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Product type | Standalone API model | Coding-specialized model |
| Best for | reasoning-heavy apps, tool-calling agents, and provider-routed production | custom coding agents, code generation, and tool loops |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 200k | 1.05m |
| Cheapest output | $2.08/1M tokens | $0.87/1M tokens |
| Provider routes | 7 tracked | 3 tracked |
| Shared benchmarks | MMLU PRO leader | 4 shared |
Decision tradeoffs
- GLM-5 holds a shared-benchmark lead on MMLU PRO, ahead by 17.5 points.
- GLM-5 has broader tracked provider coverage for fallback and route flexibility.
- GLM-5 uniquely exposes Reasoning in local model data.
- Local decision data tags GLM-5 for Coding, RAG, and Agents.
- Xiaomi MiMo-V2.5-Pro holds a shared-benchmark lead on SWE-bench Verified, ahead by 1.1 points.
- Xiaomi MiMo-V2.5-Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Xiaomi MiMo-V2.5-Pro has the lower cheapest tracked output price at $0.87/1M tokens.
- Local decision data tags Xiaomi MiMo-V2.5-Pro 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
Xiaomi MiMo-V2.5-Pro
$566
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $435. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter and Novita AI; start route-level A/B tests there.
- Xiaomi MiMo-V2.5-Pro is $1.21/1M 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 and Novita AI; start route-level A/B tests there.
- GLM-5 is $1.21/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GLM-5 adds Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-02-11 | 2026-04-22 |
| Context window | 200k | 1.05m |
| Parameters | 744B total, 40B active | 1T |
| Architecture | Mixture of Experts | Mixture of Experts |
| License | MITOSI-approved | Proprietary |
| Openness | Open source | Proprietary |
| Weights | Available | Not released |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: conditional |
| Knowledge cutoff | 2025-11 | - |
Pricing and availability
| Pricing attribute | GLM-5 | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Input price | $0.60/1M tokens | $0.43/1M tokens |
| Output price | $2.08/1M tokens | $0.87/1M tokens |
| Providers |
Capabilities
| Capability | GLM-5 | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| 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
| Benchmark | GLM-5 | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| MMLU PRO | 86.0 | 68.5 |
| SWE-bench Verified | 77.8 | 78.9 |
| SWE-bench Pro | 55.1 | 57.2 |
| Google-Proof Q&A | 86.0 | 66.7 |
Continue comparing
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Last reviewed: 2026-06-30. Data sourced from public model cards and provider documentation.