Gemini 3.1 Pro vs Grok 4.20

Side-by-side comparison of Gemini 3.1 Pro (Google) and Grok 4.20 (xAI). Exact API pricing per million tokens, context windows, output speed, and total cost on real-world prompts.

Specifications

Spec Gemini 3.1 Pro Grok 4.20
Provider Google xAI
Model id gemini-3.1-pro grok-4.20
Input price (per 1M tokens) $2.00 $2.00
Output price (per 1M tokens) $12.00 $6.00
Context window 1,048,576 2,000,000
Output speed (tokens/sec) ~90 ~75

Cost on real prompts

Total cost = (input tokens × input price) + (output tokens × output price). Numbers below use the exact pricing tables published by each provider.

Scenario Input Output Gemini 3.1 Pro Grok 4.20 Cheaper
Short question + answer 50 150 $0.001900 $0.001000 Grok 4.20
Code review on one file 500 1,500 $0.019000 $0.010000 Grok 4.20
Long document summary 5,000 500 $0.016000 $0.013000 Grok 4.20
Heavy reasoning task 2,000 8,000 $0.100000 $0.052000 Grok 4.20
Full codebase analysis 50,000 10,000 $0.220000 $0.160000 Grok 4.20

Want the exact cost for your prompt instead of these examples? Open the cost calculator pre-loaded with both models →

When to pick which

Heuristics derived from the spec table above. Always validate on your own prompts before committing — these are starting points, not verdicts.

Pick Gemini 3.1 Pro for

No clear advantage on the data points we measure. Compare on your actual prompts.

Pick Grok 4.20 for

  • output-heavy workloads — grok-4.20 is meaningfully cheaper per output token
  • tasks needing a larger context window — grok-4.20 fits 2x more tokens than gemini-3.1-pro

Switching between them

For most use cases, switching providers means updating the model id and the request shape if the providers differ. Within the same provider, it's usually a single-line change.

From Gemini 3.1 Pro to Grok 4.20

# Before
model = "gemini-3.1-pro"

# After
model = "grok-4.20"

If the providers differ (Google vs xAI), you'll also need to swap the SDK / endpoint URL. Cross-provider migrations usually take 30 minutes to a few hours depending on how many features (streaming, function calling, tool use) you depend on.

Calculate cost on your own prompt

The examples above use generic input/output ratios. For an exact comparison, paste your real prompt into the calculator — it counts tokens with the right tokenizer for each model and shows side-by-side cost.

Open the calculator with both models →