GPT-4 Turbo Preview vs Xiaomi MiMo-V2.5
GPT-4 Turbo Preview (2023) and Xiaomi MiMo-V2.5 (2026) are frontier reasoning models from OpenAI and Xiaomi. GPT-4 Turbo Preview ships a 128k-token context window, while Xiaomi MiMo-V2.5 ships a 1.05m-token context window. On pricing, Xiaomi MiMo-V2.5 costs $0.14/1M input tokens versus $10/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Xiaomi MiMo-V2.5 is ~7043% cheaper at $0.14/1M; pay for GPT-4 Turbo Preview only for coding workflow support.
Decision scorecard
Local evidence first| Signal | GPT-4 Turbo Preview | Xiaomi MiMo-V2.5 |
|---|---|---|
| Best for | multimodal apps and provider-routed production | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Coding, RAG, and Agents | RAG, Agents, and Long context |
| Context window | 128k | 1.05m |
| Cheapest output | $30/1M tokens | $0.28/1M tokens |
| Provider routes | 3 tracked | 2 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- GPT-4 Turbo Preview has broader tracked provider coverage for fallback and route flexibility.
- GPT-4 Turbo Preview uniquely exposes Code execution in local model data.
- Local decision data tags GPT-4 Turbo Preview for Coding, RAG, and Agents.
- Xiaomi MiMo-V2.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Xiaomi MiMo-V2.5 has the lower cheapest tracked output price at $0.28/1M tokens.
- Xiaomi MiMo-V2.5 uniquely exposes Multimodal, Reasoning, and JSON / Tool use in local model data.
- Local decision data tags Xiaomi MiMo-V2.5 for RAG, Agents, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GPT-4 Turbo Preview
$15,500
Cheapest tracked route/tier: OpenAI API
Xiaomi MiMo-V2.5
$182
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $15,318. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Xiaomi MiMo-V2.5 is $29.72/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Code execution before moving production traffic.
- Xiaomi MiMo-V2.5 adds Multimodal, Reasoning, and JSON / JSON / Tool use in local capability data.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- GPT-4 Turbo Preview is $29.72/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Multimodal, Reasoning, and JSON / JSON / Tool use before moving production traffic.
- GPT-4 Turbo Preview adds Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-11-06 | 2026-04-22 |
| Context window | 128k | 1.05m |
| Parameters | 1.76T (8x222B MoE)* | — |
| Architecture | Mixture of Experts | - |
| License | Proprietary | Proprietary |
| Openness | Proprietary | Proprietary |
| Weights | Not released | Not released |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2023-12 | - |
Pricing and availability
| Pricing attribute | GPT-4 Turbo Preview | Xiaomi MiMo-V2.5 |
|---|---|---|
| Input price | $10/1M tokens | $0.14/1M tokens |
| Output price | $30/1M tokens | $0.28/1M tokens |
| Providers |
Capabilities
| Capability | GPT-4 Turbo Preview | Xiaomi MiMo-V2.5 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | No | Yes |
| Reasoning | No | Yes |
| JSON / Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.