Gemini 2.5 Pro vs Grok 3 Mini

Across our 12-test suite, Gemini 2.5 Pro wins 5 benchmarks, Grok 3 Mini wins 2, and the two tie on 5.

Where Gemini 2.5 Pro wins:

• Creative problem solving: 5 vs 3. Gemini 2.5 Pro ties for 1st among 8 models in our testing; Grok 3 Mini ranks 30th of 54. For tasks requiring non-obvious, feasible ideas, this is a meaningful gap.
• Strategic analysis: 4 vs 3. Gemini 2.5 Pro ranks 27th of 54; Grok 3 Mini ranks 36th of 54. Not a standout result for either, but Gemini 2.5 Pro has the edge for nuanced tradeoff reasoning.
• Agentic planning: 4 vs 3. Gemini 2.5 Pro ranks 16th of 54; Grok 3 Mini ranks 42nd of 54. This gap matters significantly for autonomous workflows requiring goal decomposition and failure recovery.
• Multilingual: 5 vs 4. Gemini 2.5 Pro ties for 1st among 35 models; Grok 3 Mini ranks 36th of 55. For non-English applications, Gemini 2.5 Pro is the more reliable choice.
• Structured output: 5 vs 4. Gemini 2.5 Pro ties for 1st among 25 models; Grok 3 Mini ranks 26th of 54. Both are competitive, but Gemini 2.5 Pro is more consistently reliable on JSON schema compliance.

Where Grok 3 Mini wins:

• Constrained rewriting: 4 vs 3. Grok 3 Mini ranks 6th of 53; Gemini 2.5 Pro ranks 31st of 53. For compression tasks with hard character limits, Grok 3 Mini is the better tool.
• Safety calibration: 2 vs 1. Grok 3 Mini ranks 12th of 55; Gemini 2.5 Pro ranks 32nd of 55. Both scores are below the 50th percentile (which sits at 2), but Grok 3 Mini is measurably less prone to over-refusing or under-refusing in our tests.

Ties (both score equally):

• Tool calling: Both score 5/5, tied for 1st with 17 other models. Either is a sound choice for function-calling pipelines.
• Faithfulness: Both score 5/5, tied for 1st with 33 other models.
• Classification: Both score 4/5, tied for 1st with 30 other models.
• Long context: Both score 5/5, tied for 1st with 37 other models — though Gemini 2.5 Pro's 1M-token window dwarfs Grok 3 Mini's 131K when document size exceeds that threshold.
• Persona consistency: Both score 5/5, tied for 1st with 37 other models.

External benchmarks (Epoch AI): Gemini 2.5 Pro scores 57.6% on SWE-bench Verified, ranking 10th of 12 models with that score in our dataset — placing it below the 25th percentile (61.1%) among models we've tracked on that benchmark. On AIME 2025, it scores 84.2%, ranking 11th of 23 models, which sits near the median (83.9%). Grok 3 Mini has no external benchmark scores in our dataset. These third-party results suggest Gemini 2.5 Pro's coding ability on real GitHub issues is more middling than its strong internal scores might imply, while its competition math performance is near the median of tracked models.

The pricing gap between these two models is stark. Gemini 2.5 Pro costs $1.25/M input tokens and $10/M output tokens. Grok 3 Mini costs $0.30/M input and $0.50/M output — making outputs 20x cheaper.

At 1M output tokens/month, you're paying $10 for Gemini 2.5 Pro versus $0.50 for Grok 3 Mini — a $9.50/month difference that's negligible for most use cases. At 10M output tokens/month, that gap grows to $95. At 100M output tokens/month — typical for production API workloads — you're looking at $1,000/month for Gemini 2.5 Pro versus $50/month for Grok 3 Mini, a $950/month difference.

For developers building high-volume applications where Grok 3 Mini's scores are sufficient (it ties Gemini 2.5 Pro on tool calling, faithfulness, classification, long context, and persona consistency), the cost savings are real. For teams that need Gemini 2.5 Pro's advantages in creative problem solving, strategic analysis, agentic planning, or multilingual quality, the premium is the price of admission. Also worth noting: Gemini 2.5 Pro supports a 1,048,576-token context window versus Grok 3 Mini's 131,072 tokens — relevant for long-document workloads where the larger window may be required regardless of cost.

Choose Gemini 2.5 Pro if:

• You need the best available creative problem solving or agentic planning — it scores 5 vs Grok 3 Mini's 3 on both.
• Your application serves non-English speakers; Gemini 2.5 Pro scores 5 vs 4 on multilingual in our testing.
• You're processing documents that exceed 131K tokens — Gemini 2.5 Pro's 1M-token context window is the only option here.
• You need multimodal input (images, audio, video, files); Grok 3 Mini is text-only per the payload.
• Your volume is low enough that the 20x output price difference ($10 vs $0.50/M tokens) doesn't materially affect your budget.

Choose Grok 3 Mini if:

• Your primary task is constrained rewriting or compression — Grok 3 Mini ranks 6th of 53 on that benchmark vs Gemini 2.5 Pro's 31st.
• You need reliable safety calibration — Grok 3 Mini ranks 12th of 55 vs Gemini 2.5 Pro's 32nd.
• Your workload consists mainly of tool calling, classification, faithfulness, or persona consistency tasks — the two models tie on all four, and Grok 3 Mini costs 20x less for the same output quality.
• You're running high-volume production workloads where the cost gap (e.g., $950/month savings at 100M output tokens) is a real operational consideration.
• You want access to raw thinking traces — Grok 3 Mini explicitly surfaces these.