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Grok 4.1 vs Qwen2.5-72B

Grok 4.1 (2025) and Qwen2.5-72B (2025) are compact production models from xAI and Alibaba. Grok 4.1 ships a 2M-token context window, while Qwen2.5-72B ships a 128k-token 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 4.1 fits 16x more tokens; pick it for long-context work and Qwen2.5-72B for tighter calls.

Specs

Released2025-11-172025-10-10
Context window2M128k
Parameters72B
Architecture--
LicenseProprietaryOpen Source
Knowledge cutoff-2024-09

Pricing and availability

Grok 4.1Qwen2.5-72B
Input price--
Output price--
Providers--

Pricing not yet sourced for either model.

Capabilities

Grok 4.1Qwen2.5-72B
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 multimodal input: Grok 4.1, function calling: Qwen2.5-72B, and tool use: Qwen2.5-72B. 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 4.1 has no token price sourced yet and Qwen2.5-72B has no token price sourced yet. Provider availability is 0 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 4.1 when long-context analysis and larger context windows are central to the workload. Choose Qwen2.5-72B 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

Which has a larger context window, Grok 4.1 or Qwen2.5-72B?

Grok 4.1 supports 2M tokens, while Qwen2.5-72B supports 128k 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.

Is Grok 4.1 or Qwen2.5-72B open source?

Grok 4.1 is listed under Proprietary. Qwen2.5-72B is listed under Open Source. 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 multimodal input, Grok 4.1 or Qwen2.5-72B?

Grok 4.1 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.

Which is better for function calling, Grok 4.1 or Qwen2.5-72B?

Qwen2.5-72B 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 4.1 or Qwen2.5-72B?

Qwen2.5-72B 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.

When should I pick Grok 4.1 over Qwen2.5-72B?

Grok 4.1 fits 16x more tokens; pick it for long-context work and Qwen2.5-72B for tighter calls. If your workload also depends on long-context analysis, start with Grok 4.1; if it depends on provider fit, run the same evaluation with Qwen2.5-72B.

Continue comparing

Last reviewed: 2026-04-18. Data sourced from public model cards and provider documentation.