Grok 4.20 vs MiMo-V2.5
Grok 4.20 (2026) and MiMo-V2.5 (2026) are frontier-tier reasoning models from xAI and Xiaomi. Both ship a 1M-token context window. On Google-Proof Q&A, Grok 4.20 leads by 4.3 pts. On pricing, MiMo-V2.5 costs $0.14/1M input tokens versus $1.25/1M 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.
MiMo-V2.5 is ~793% cheaper at $0.14/1M; pay for Grok 4.20 only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | Grok 4.20 | MiMo-V2.5 |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Coding, RAG, and Agents | RAG, Agents, and Long context |
| Context window | 1M | 1M |
| Cheapest output | $2.50/1M tokens | $0.28/1M tokens |
| Provider routes | 2 tracked | 2 tracked |
| Shared benchmarks | Google-Proof Q&A leader | 1 shared |
Decision tradeoffs
- Grok 4.20 holds a shared-benchmark lead on Google-Proof Q&A, ahead by 4.3 points.
- Local decision data tags Grok 4.20 for Coding, RAG, and Agents.
- MiMo-V2.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- MiMo-V2.5 has the lower cheapest tracked output price at $0.28/1M tokens.
- Local decision data tags 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.
Grok 4.20
$1,625
Cheapest tracked route/tier: xAI Console
MiMo-V2.5
$182
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $1,443. 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.
- MiMo-V2.5 is $2.22/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Grok 4.20 is $2.22/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Specs
Pricing and availability
| Pricing attribute | Grok 4.20 | MiMo-V2.5 |
|---|---|---|
| Input price | $1.25/1M tokens | $0.14/1M tokens |
| Output price | $2.50/1M tokens | $0.28/1M tokens |
| Providers |
Capabilities
| Capability | Grok 4.20 | MiMo-V2.5 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | Yes |
| 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 | Grok 4.20 | MiMo-V2.5 |
|---|---|---|
| Google-Proof Q&A | 88.0 | 83.7 |
Deep dive
On shared benchmark coverage, Google-Proof Q&A has Grok 4.20 at 88 and MiMo-V2.5 at 83.7, with Grok 4.20 ahead by 4.3 points. The largest visible gap is 4.3 points on Google-Proof Q&A, 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 is close: both models cover vision, multimodal input, reasoning mode, JSON / Tool use, and JSON / Tool use. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
For cost, Grok 4.20 lists $1.25/1M input and $2.50/1M output tokens on the cheapest tracked provider, while MiMo-V2.5 lists $0.14/1M input and $0.28/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts MiMo-V2.5 lower by about $1.44 per million blended tokens. Availability is 2 providers versus 2, so concentration risk also matters.
Choose Grok 4.20 when vision-heavy evaluation are central to the workload. Choose MiMo-V2.5 when long-context analysis, 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, Grok 4.20 or MiMo-V2.5?
MiMo-V2.5 supports 1M tokens, while Grok 4.20 supports 1M tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is cheaper, Grok 4.20 or MiMo-V2.5?
MiMo-V2.5 is cheaper on tracked token pricing. Grok 4.20 costs $1.25/1M input and $2.50/1M output tokens. MiMo-V2.5 costs $0.14/1M input and $0.28/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Grok 4.20 or MiMo-V2.5 open source?
Grok 4.20 is listed under Proprietary. MiMo-V2.5 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, Grok 4.20 or MiMo-V2.5?
Both Grok 4.20 and MiMo-V2.5 expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Grok 4.20 or MiMo-V2.5?
Both Grok 4.20 and MiMo-V2.5 expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Where can I run Grok 4.20 and MiMo-V2.5?
Grok 4.20 is available on xAI Console and OpenRouter. MiMo-V2.5 is available on OpenRouter and Xiaomi. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Continue comparing
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Last reviewed: 2026-10-20. Data sourced from public model cards and provider documentation.