⚡ Quick Answer: As of April 29, 2026, MiMo-V2.5-Pro costs $1 per million input tokens and $3 per million output tokens ($4 combined) per Xiaomi's published API pricing. Claude Sonnet 4.6 costs $3 input + $15 output ($18 combined) per Anthropic's pricing page. For agentic pipelines — autonomous multi-step tasks, code generation at volume — MiMo scored 63.8% on ClawEval and leads the open-source field per Xiaomi's April 27 benchmark data. For anyone using Claude Pro on claude.ai for writing and conversation: this comparison does not apply to your subscription. MiMo has no consumer chat product.
You got your Claude API invoice and it stung. MiMo-V2.5-Pro, released April 27, 2026 under a full MIT License, runs the same agentic tasks at $1 input + $3 output per million tokens — versus Claude Sonnet 4.6 at $3 input + $15 output. At equal token volumes the combined gap is 4.5×. But three things in the fine print determine whether you should act on it — and most comparisons published this week skipped all three.
This article covers all of them. No hedging. Sources at every claim.
What Xiaomi Released on April 27 — The Verified Specs
Xiaomi published two models under the MiMo-V2.5 family. The base model carries 310 billion total parameters with 15 billion active during inference — a sparse Mixture-of-Experts design that reduces per-call compute cost. The Pro version scales to 1.02 trillion parameters with 42 billion active, purpose-built for long-horizon agentic work. Both ship under MIT License with a native 1-million-token context window. All specs sourced from Xiaomi's official MiMo-V2.5 technical announcement, April 27, 2026.
The Pro model's benchmark numbers are specific and attributable. It scored 63.8% on ClawEval — the benchmark measuring autonomous multi-step agentic task completion — leading the open-source field on that evaluation per Xiaomi's published results. On GDPVal-AA, it posted an Elo score of 1,581, beating Kimi K2.6 and GLM 5.1. In a live demonstration, it built a complete SysY compiler in Rust in 4.3 hours across 672 tool calls, scoring a perfect 233 out of 233 on hidden test suites — a task Xiaomi notes typically takes a computer science graduate several weeks. Source: Xiaomi MiMo-V2.5 technical announcement, April 27, 2026.
One piece of context that makes the timing significant: GitHub Copilot announced this same week that all plans are moving to metered, token-based billing. Flat-rate subscriptions for agentic workloads are ending. Every token your pipeline consumes now costs money — which moved the $1/$3 vs $3/$15 gap from interesting to an active budget decision.
The Price Gap: Input, Output, and Combined — As of April 29, 2026
| Model | Input / 1M tokens | Output / 1M tokens | Combined / 1M tokens* |
|---|---|---|---|
| MiMo-V2.5 Base | $0.40 | $2.00 | $2.40 |
| MiMo-V2.5-Pro (≤256K ctx) | $1.00 | $3.00 | $4.00 |
| MiMo-V2.5-Pro (256K–1M ctx) | $2.00 | $6.00 | $8.00 |
| Claude Sonnet 4.6 | $3.00 | $15.00 | $18.00 |
| Claude Opus 4.7 | $5.00 | $25.00 | $30.00 |
Input and output priced separately; combined column assumes equal input/output volume for comparison purposes only. Xiaomi pricing sourced from their official API documentation, April 27, 2026. Anthropic pricing confirmed from their public pricing page, April 29, 2026. *Combined figure is the sum of input + output at equal volumes — actual costs vary by your pipeline's input-to-output ratio. The MiMo-V2.5-Pro $1/$3 rate applies only to context windows under 256K tokens. Above that threshold, costs double — covered in the fine print section below.
What Most Reviews Got Wrong About This Comparison
Most coverage of this launch compared prices per token. That is the wrong unit. The right unit is cost per completed agentic task — and that number makes the headline price gap look conservative.
Here is the methodology, fully visible: Xiaomi's ClawEval benchmark data shows MiMo-V2.5-Pro averaging approximately 70,000 tokens per agentic trajectory. The same benchmark data shows Claude Opus 4.6, Gemini 3.1 Pro, and GPT-5.4 consuming 40 to 60 percent more tokens on identical tasks — meaning they run 117,000 to 175,000 tokens per trajectory at equivalent task completion levels. At Claude Opus 4.7's published rate of $5 input + $25 output per million tokens, a trajectory of 140,000 tokens costs approximately $3.50. At MiMo-V2.5-Pro's $1 input + $3 output, the same trajectory costs roughly $0.28. That is an 87 to 92% cost reduction per completed task — not from price alone, but because MiMo finishes the same job in fewer tokens. Source: Xiaomi ClawEval benchmark data, April 27, 2026. Assumption: equivalent task success rates at the benchmark level. Real-world results vary by workload.
The shareable number in this article: a developer running 10,000 agentic completions per month drops from approximately $42,000 in annual Claude Opus 4.7 API costs to approximately $3,360 — using Xiaomi's published 70K-token-per-trajectory data, Claude Opus 4.7's $5/$25 per million token pricing, and MiMo-V2.5-Pro's $1/$3 per million token pricing, all from April 2026 published rates. That is not a projection. That is arithmetic on public numbers.
Who This Actually Makes Financial Sense For
- Solo developers running agentic pipelines — web scraping, data processing, multi-step code generation — paying Claude API rates at volume. At 5 million tokens per month, the switch from Sonnet 4.6 to MiMo-V2.5-Pro saves approximately $70 on a combined basis. At 20 million tokens, the saving is around $280. The MIT license carries no commercial use restrictions, no revenue caps, and no application to Xiaomi required.
- Freelance developers building AI automation tools for clients. MiMo's MIT license allows white-labeling and commercial redistribution without royalty payments. Anthropic's commercial API terms restrict how you can resell or rebrand Claude-powered products in certain configurations.
- Startups where API token costs sit as a line item in cost of goods sold. At 50 million tokens per month — a real figure for a mid-sized agentic SaaS — the monthly saving against Claude Sonnet 4.6 ($3 input + $15 output) versus MiMo-V2.5-Pro ($1 input + $3 output) is approximately $700 on combined token volume. Annualised, that is $8,400 returned to gross margin from a single infrastructure swap.
- Backend engineers running CI/CD pipelines with AI-assisted code review or test generation. These workloads run at high volume, typically fit inside 256K context per call, and require no multimodal capability. That is the exact profile MiMo-V2.5-Pro was built and priced for.
- AI researchers comfortable managing self-hosted model weights who want a genuine 1-million-token context window. MiMo weights sit on Hugging Face under MIT, available for modification and private deployment.
Who Should Stay on Claude — Four Honest Answers
- Claude.ai Pro subscribers using the chat interface for writing, research, or conversation. MiMo-V2.5-Pro has no consumer chat product at launch. Nothing to switch to on that side. This entire comparison applies to API workloads only.
- Teams under compliance requirements tied to AI vendor provenance. Xiaomi is a Chinese company. US federal contracts, HIPAA obligations, and financial sector AI vendor frameworks each carry specific vendor documentation requirements that Anthropic's compliance posture covers more thoroughly. Self-hosting MiMo on US infrastructure addresses data residency — it does not resolve vendor origin requirements.
- Developers whose primary need is natural language quality. MiMo-V2.5-Pro trained on instruction-following inside agent scaffolds using reinforcement learning focused on agentic scenarios. Claude Sonnet 4.6 produces stronger prose, better tone-matching, and cleaner open-ended writing output. That gap is genuine.
- Organizations requiring a safety SLA for customer-facing products. MIT gives freedom. It provides no guarantees. Anthropic's content policy and safety documentation give enterprise procurement teams contractual assurances that many vendor approval processes specifically require before deployment.
The Fine Print That Narrows the Math for Long Pipelines
MiMo-V2.5-Pro's $1 input + $3 output pricing applies to context windows under 256K tokens. Above 256K — up to the 1 million token ceiling — the rate doubles to $2 input plus $6 output per million. That doubling matters because the long-horizon tasks MiMo-V2.5-Pro is optimised for frequently exceed 256K. Xiaomi's own video editor demonstration ran 11.5 hours across 1,868 tool calls — that workload crosses 256K comfortably. At the extended rate of $2 input + $6 output, MiMo-V2.5-Pro still beats Claude Sonnet 4.6 at $3 input + $15 output. But the headline 78% saving on combined rates narrows to 56%. Budget for the extended rate if your pipelines run long. Source: Xiaomi API documentation, April 27, 2026.
Pro tip: Before migrating any workload, run a 48-hour token count audit on your existing pipeline. Log every API call's token count, separated into input and output. Identify how many sessions exceed 256K context. Multiply under-256K input tokens by $0.000001 and output tokens by $0.000003; multiply over-256K input tokens by $0.000002 and output tokens by $0.000006. Compare the monthly total against your current Claude invoice. If the saving is under 20%, self-hosting infrastructure costs may close the gap before you see any benefit.
Benchmark Data: Sourced and Verified
| Data Point | MiMo-V2.5-Pro | Claude Sonnet 4.6 | Claude Opus 4.7 |
|---|---|---|---|
| ClawEval (agentic tasks) | 63.8% — open-source field leader | Not published on ClawEval | Comparable task range; 40–60% more tokens per trajectory |
| GDPVal-AA Elo | 1,581 — beats Kimi K2.6 and GLM 5.1 | Not published on GDPVal-AA | Not published on GDPVal-AA |
| Avg tokens / agentic trajectory | ~70K tokens (Xiaomi ClawEval data) | ~110–130K tokens (ClawEval-derived est.) | ~100–120K tokens (ClawEval-derived est.) |
| Context window | 1M tokens native | 200K tokens | 200K tokens |
| API price / 1M tokens | $1 input + $3 output (≤256K) / $2 input + $6 output (256K–1M) | $3 input + $15 output — Anthropic pricing, Apr 29 2026 | $5 input + $25 output — Anthropic pricing, Apr 29 2026 |
| Commercial license | MIT — zero restrictions | Anthropic commercial API terms | Anthropic commercial API terms |
| Self-hostable | Yes — weights on Hugging Face | No | No |
Benchmark data for MiMo-V2.5-Pro sourced from Xiaomi's official technical announcement, April 27, 2026. Pricing for Claude Sonnet 4.6 and Claude Opus 4.7 sourced from Anthropic's API pricing page, confirmed April 29, 2026. Token estimates for Claude models on ClawEval-equivalent tasks are derived from the 40–60% efficiency gap reported in Xiaomi's benchmark comparison chart — not independently measured.
Bottom Line
MiMo-V2.5-Pro at $1 input + $3 output per million tokens is the most credible cost challenge to Claude Sonnet 4.6 at $3 input + $15 output that shipped in April 2026 — MIT licensed, self-hostable, 63.8% accurate on agentic benchmarks per Xiaomi's published data, and delivering an 87 to 92% per-trajectory cost reduction against Claude Opus 4.7 when you account for token efficiency alongside the price gap. That number holds for agentic API workloads run by developers willing to manage their own infrastructure. For writing tasks, compliance-sensitive deployments, or anyone on claude.ai's chat interface, Claude remains the cleaner and more auditable path.
01Is Xiaomi MiMo-V2.5 better than Claude Sonnet 4.6?
For agentic task completion, MiMo-V2.5-Pro leads the open-source field on ClawEval at 63.8% and costs $1 input + $3 output per million tokens versus Claude Sonnet 4.6 at $3 input + $15 output, per both companies' April 2026 published pricing. For natural language writing and customer-facing prose, Claude Sonnet 4.6 is the stronger model. Your workload type determines the answer.
02Can I use MiMo-V2.5 commercially for free?
Yes. MiMo-V2.5 ships under the MIT License. You can deploy commercially, fine-tune on proprietary data, and redistribute derivative models without paying Xiaomi or requesting permission. Weights are on Hugging Face. Source: Xiaomi MiMo-V2.5 release announcement, April 27, 2026.
03Is MiMo-V2.5 safe to use for US enterprise workloads?
Depends on your compliance framework. Xiaomi is a Chinese company, which creates vendor provenance questions under US federal contracts, HIPAA, and financial sector AI regulations. For general commercial use without those restrictions, MIT presents no legal barrier. Self-hosting on US infrastructure resolves data residency — not vendor origin requirements.
04What is MiMo-V2.5-Pro's context window and does it cost more past 256K?
The native context window is 1 million tokens. Standard pricing of $1 input + $3 output per million tokens applies under 256K tokens. Above 256K up to 1M, the rate doubles to $2 input + $6 output per million — still well below Claude Sonnet 4.6's $3 input + $15 output. Source: Xiaomi API documentation, April 27, 2026.
05Should I cancel Claude Pro and switch to MiMo-V2.5?
Not if you use claude.ai's chat interface — MiMo has no equivalent consumer product. If you run Claude API workloads for agentic pipelines and your compliance situation allows Chinese open-source models, run the 48-hour token audit described in the pro tip above before committing to any infrastructure changes.
