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Gemini 2.5 Pro Preview 06-05 vs Grok-2

Gemini 2.5 Pro Preview 06-05 (2025) and Grok-2 (2024) are frontier reasoning models from Google DeepMind and xAI. Gemini 2.5 Pro Preview 06-05 ships a 1M-token context window, while Grok-2 ships a 128K-token context window. On pricing, Grok-2 costs $0.5/1M input tokens versus $1.25/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.

Grok-2 is ~150% cheaper at $0.5/1M; pay for Gemini 2.5 Pro Preview 06-05 only for coding workflow support.

Specs

Specification
Released2025-03-252024-08-01
Context window1M128K
Parameters
Architecturedecoder onlydecoder only
LicenseUnknownUnknown
Knowledge cutoff--

Pricing and availability

Pricing attributeGemini 2.5 Pro Preview 06-05Grok-2
Input price$1.25/1M tokens$0.5/1M tokens
Output price$10/1M tokens$0.5/1M tokens
Providers

Capabilities

CapabilityGemini 2.5 Pro Preview 06-05Grok-2
VisionNoNo
MultimodalNoNo
ReasoningNoYes
Function callingNoNo
Tool useNoNo
Structured outputsYesYes
Code executionYesNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on reasoning mode: Grok-2 and code execution: Gemini 2.5 Pro Preview 06-05. Both models share 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, Gemini 2.5 Pro Preview 06-05 lists $1.25/1M input and $10/1M output tokens, while Grok-2 lists $0.5/1M input and $0.5/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Grok-2 lower by about $3.38 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.

Choose Gemini 2.5 Pro Preview 06-05 when coding workflow support and larger context windows are central to the workload. Choose Grok-2 when reasoning depth 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. 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.

FAQ

Which has a larger context window, Gemini 2.5 Pro Preview 06-05 or Grok-2?

Gemini 2.5 Pro Preview 06-05 supports 1M tokens, while Grok-2 supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Which is cheaper, Gemini 2.5 Pro Preview 06-05 or Grok-2?

Grok-2 is cheaper on tracked token pricing. Gemini 2.5 Pro Preview 06-05 costs $1.25/1M input and $10/1M output tokens. Grok-2 costs $0.5/1M input and $0.5/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Gemini 2.5 Pro Preview 06-05 or Grok-2 open source?

Gemini 2.5 Pro Preview 06-05 is listed under Unknown. Grok-2 is listed under Unknown. 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, Gemini 2.5 Pro Preview 06-05 or Grok-2?

Grok-2 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 structured outputs, Gemini 2.5 Pro Preview 06-05 or Grok-2?

Both Gemini 2.5 Pro Preview 06-05 and Grok-2 expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Where can I run Gemini 2.5 Pro Preview 06-05 and Grok-2?

Gemini 2.5 Pro Preview 06-05 is available on OpenRouter. Grok-2 is available on SiliconFlow. 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

Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.