Grok 4.20 vs Qwen2.5-Max
Grok 4.20 (2026) and Qwen2.5-Max (2025) are frontier reasoning models from xAI and Alibaba. Grok 4.20 ships a 2M-token context window, while Qwen2.5-Max ships a not-yet-sourced context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.
Grok 4.20 is safer overall; choose Qwen2.5-Max when provider fit matters.
Specs
| Released | 2026-01-01 | 2025-01-28 |
| Context window | 2M | — |
| Parameters | — | — |
| Architecture | - | decoder only |
| License | Proprietary | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| Grok 4.20 | Qwen2.5-Max | |
|---|---|---|
| Input price | $4.2/1M tokens | - |
| Output price | $12.60/1M tokens | - |
| Providers | - |
Capabilities
| Grok 4.20 | Qwen2.5-Max | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on reasoning mode: Grok 4.20, function calling: Grok 4.20, tool use: Grok 4.20, and structured outputs: Grok 4.20. Both models share the core language-model surface, 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.
Pricing coverage is uneven: Grok 4.20 has $4.2/1M input tokens and Qwen2.5-Max has no token price sourced yet. Provider availability is 1 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Grok 4.20 when reasoning depth and broader provider choice are central to the workload. Choose Qwen2.5-Max when provider fit are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Is Grok 4.20 or Qwen2.5-Max open source?
Grok 4.20 is listed under Proprietary. Qwen2.5-Max is listed under Apache 2.0. 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 reasoning mode, Grok 4.20 or Qwen2.5-Max?
Grok 4.20 has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for function calling, Grok 4.20 or Qwen2.5-Max?
Grok 4.20 has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for tool use, Grok 4.20 or Qwen2.5-Max?
Grok 4.20 has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for structured outputs, Grok 4.20 or Qwen2.5-Max?
Grok 4.20 has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Grok 4.20 and Qwen2.5-Max?
Grok 4.20 is available on xAI Console. Qwen2.5-Max is available on the tracked providers still being sourced. 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.
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Last reviewed: 2026-04-19. Data sourced from public model cards and provider documentation.