Google: Gemini 2.5 Pro (batch) vs SpaceXAI: Grok 4.7
Head-to-head API pricing and cost comparison between Google’s Google: Gemini 2.5 Pro (batch) and xAI’s SpaceXAI: Grok 4.7. Prices auto-refresh daily from OpenRouter.
Google: Gemini 2.5 Pro (batch) is 61% cheaper for input tokens; SpaceXAI: Grok 4.7 wins on output tokens at $4.80/1M.
Side-by-side comparison
| Spec | Google: Gemini 2.5 Pro (batch) | SpaceXAI: Grok 4.7 |
|---|---|---|
| Input price (per 1M) | $0.63 | $1.60 |
| Cached input (per 1M) | $0.13 | $0.40 |
| Output price (per 1M) | $5.00 | $4.80 |
| Batch input (per 1M) | — | — |
| Batch output (per 1M) | — | — |
| Reasoning price (per 1M) | $5.00 | — |
| Context window | 1049K | 500K |
| Vision support | Yes | Yes |
| Caching support | Yes | Yes |
| Batch API | No | No |
| Reasoning capability | Yes | No |
Monthly cost at volume
Estimated monthly API spend at common production traffic levels (input/output tokens per request shown).
| Volume | Google: Gemini 2.5 Pro (batch) | SpaceXAI: Grok 4.7 | Savings |
|---|---|---|---|
1K req/day 500in / 200out tokens | $39.38 | $52.80 | $13.42 Google: Gemini 2.5 Pro (batch) wins |
10K req/day 1500in / 500out tokens | $1,031 | $1,440 | $408.75 Google: Gemini 2.5 Pro (batch) wins |
100K req/day 3000in / 800out tokens | $17,625 | $25,920 | $8,295 Google: Gemini 2.5 Pro (batch) wins |
1M req/day 8000in / 2000out tokens | $450,000 | $672,000 | $222,000 Google: Gemini 2.5 Pro (batch) wins |
Adjust input/output token counts, request volume, batch & cached pricing.
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Frequently asked questions
Which is cheaper, Google: Gemini 2.5 Pro (batch) or SpaceXAI: Grok 4.7?
For input tokens, Google: Gemini 2.5 Pro (batch) is roughly 61% cheaper at $0.63/1M vs $1.60/1M. For output tokens, SpaceXAI: Grok 4.7 wins at $4.80/1M. Real-world cost depends on your input/output ratio — use the calculator to model your actual workload.
What’s the context window difference?
Google: Gemini 2.5 Pro (batch) has a context window of 1049K tokens. SpaceXAI: Grok 4.7 offers 500K tokens. Larger context windows are valuable for long documents, RAG pipelines, and multi-turn conversations — but they come with higher input-token bills if you fill them every request.
Should I use Google: Gemini 2.5 Pro (batch) or SpaceXAI: Grok 4.7?
Choose Google: Gemini 2.5 Pro (batch) if you’re already on the Google stack, want reasoning capabilities, or prefer its lower input price. Choose SpaceXAI: Grok 4.7 for xAI’s ecosystem, native vision input, or its cheaper output tokens. Run a small benchmark on your own prompts before committing — price is only one axis.
How are these prices kept current?
Prices are pulled directly from OpenRouter’s public models API once every 24 hours via a Convex cron job, then normalized to per-1M-token figures. Last refresh: Sep 22, 2026.