Claude 3.7 Sonnet vs Xiaomi MiMo-V2.5-Pro
Claude 3.7 Sonnet (2024) and Xiaomi MiMo-V2.5-Pro (2026) compare a standalone API model against a coding-specialized model. Claude 3.7 Sonnet ships a 200k-token context window, while Xiaomi MiMo-V2.5-Pro ships a 1.05m-token context window. On MMLU PRO, Claude 3.7 Sonnet leads by 11.8 pts. On pricing, Xiaomi MiMo-V2.5-Pro costs $0.43/1M input tokens versus $3/1M 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: Claude 3.7 Sonnet 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 | Claude 3.7 Sonnet | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Product type | Standalone API model | Coding-specialized model |
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | 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 | $15/1M tokens | $0.87/1M tokens |
| Provider routes | 6 tracked | 3 tracked |
| Shared benchmarks | MMLU PRO leader | 2 rows |
Decision tradeoffs
- Claude 3.7 Sonnet holds a shared-benchmark lead on MMLU PRO, ahead by 11.8 points.
- Claude 3.7 Sonnet has broader tracked provider coverage for fallback and procurement flexibility.
- Claude 3.7 Sonnet uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags Claude 3.7 Sonnet for Coding, RAG, and Agents.
- Xiaomi MiMo-V2.5-Pro holds a shared-benchmark lead on SWE-bench Verified, ahead by 8.6 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.
Claude 3.7 Sonnet
$6,150
Cheapest tracked route/tier: GCP Vertex AI
Xiaomi MiMo-V2.5-Pro
$566
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $5,585. 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-Pro is $14.13/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Claude 3.7 Sonnet is $14.13/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Claude 3.7 Sonnet adds Vision, Multimodal, and Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-03-04 | 2026-04-22 |
| Context window | 200k | 1.05m |
| Parameters | — | 1T |
| Architecture | decoder only | mixture of experts |
| License | Proprietary | Proprietary |
| Openness | Proprietary | Proprietary |
| Commercial use | Commercial use with conditions | Commercial use with conditions |
| Knowledge cutoff | 2024-11 | - |
Pricing and availability
| Pricing attribute | Claude 3.7 Sonnet | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Input price | $3/1M tokens | $0.43/1M tokens |
| Output price | $15/1M tokens | $0.87/1M tokens |
| Providers |
Capabilities
| Capability | Claude 3.7 Sonnet | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | No |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Claude 3.7 Sonnet | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| MMLU PRO | 80.3 | 68.5 |
| SWE-bench Verified | 70.3 | 78.9 |
Deep dive
On shared benchmark coverage, MMLU PRO has Claude 3.7 Sonnet at 80.3 and Xiaomi MiMo-V2.5-Pro at 68.5, with Claude 3.7 Sonnet ahead by 11.8 points; SWE-bench Verified has Claude 3.7 Sonnet at 70.3 and Xiaomi MiMo-V2.5-Pro at 78.9, with Xiaomi MiMo-V2.5-Pro ahead by 8.6 points. The largest visible gap is 11.8 points on MMLU PRO, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on vision: Claude 3.7 Sonnet, multimodal input: Claude 3.7 Sonnet, reasoning mode: Claude 3.7 Sonnet, and code execution: Claude 3.7 Sonnet. Both models share function calling, tool use, and structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, Claude 3.7 Sonnet lists $3/1M input and $15/1M output tokens on the cheapest tracked provider, while Xiaomi MiMo-V2.5-Pro lists $0.43/1M input and $0.87/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Xiaomi MiMo-V2.5-Pro lower by about $6.03 per million blended tokens. Availability is 6 providers versus 3, so concentration risk also matters.
Choose Claude 3.7 Sonnet when coding workflow support and broader provider choice are central to the workload. Choose Xiaomi MiMo-V2.5-Pro when coding workflow support, larger context windows, and lower input-token cost are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, Claude 3.7 Sonnet or Xiaomi MiMo-V2.5-Pro?
Xiaomi MiMo-V2.5-Pro supports 1.05m tokens, while Claude 3.7 Sonnet supports 200k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Claude 3.7 Sonnet or Xiaomi MiMo-V2.5-Pro?
Xiaomi MiMo-V2.5-Pro is cheaper on tracked token pricing. Claude 3.7 Sonnet costs $3/1M input and $15/1M output tokens. Xiaomi MiMo-V2.5-Pro costs $0.43/1M input and $0.87/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Claude 3.7 Sonnet or Xiaomi MiMo-V2.5-Pro open source?
Claude 3.7 Sonnet is listed under Proprietary. Xiaomi MiMo-V2.5-Pro is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Claude 3.7 Sonnet or Xiaomi MiMo-V2.5-Pro?
Claude 3.7 Sonnet has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Claude 3.7 Sonnet or Xiaomi MiMo-V2.5-Pro?
Claude 3.7 Sonnet has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Claude 3.7 Sonnet and Xiaomi MiMo-V2.5-Pro?
Claude 3.7 Sonnet is available on Snowflake Cortex, GCP Vertex AI, Replicate API, OpenRouter, and AWS Bedrock. Xiaomi MiMo-V2.5-Pro is available on OpenRouter, Xiaomi, and Novita AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-26. Data sourced from public model cards and provider documentation.