MiMo-V2.5 vs GLM 4.7 Flash
Detailed technical comparison between MiMo-V2.5 (Xiaomi) and GLM 4.7 Flash (Zhipu AI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.
Comparison Snapshot
MiMo-V2.5
1,050,000 tokensTie
Equal CapabilityTie
Equal SpeedGLM 4.7 Flash
$0.06 / MTokMiMo-V2.5
MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding...
GLM 4.7 Flash
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...
Technical Specifications
🏆 = Superior Spec| Specification | MiMo-V2.5 | GLM 4.7 Flash |
|---|---|---|
| Provider | Xiaomi | Zhipu AI |
| Context Window | 1,050,000 tokens🏆 | 202,752 tokens |
| Agent Suitability | Not yet benchmarked | Not yet benchmarked |
| Time to First Token (TTFT) | No public TTFT data | No public TTFT data |
| Deployment Model | managed api | managed api |
| Production Stability | Beta Access (est.) | Stable GA (est.) |
| API Available | Yes | Yes |
| Released Date | 2026-04-22 | 2026-01-19 |
API Pricing Comparison
Input Price per Million Tokens
MiMo-V2.5
$0.14
GLM 4.7 Flash
$0.06
Output Price per Million Tokens
MiMo-V2.5
$0.28
GLM 4.7 Flash
$0.40
💡 Cost Ratio: GLM 4.7 Flash is 2.3x cheaper per input token than MiMo-V2.5.
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Benchmark Performance Metrics
Standardized Scores (0–100%)Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.
MiMo-V2.5 Quirks & Gotchas
No developer gotchas reported.
GLM 4.7 Flash Quirks & Gotchas
No developer gotchas reported.
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