Live pricing — last refreshed Apr 21, 2026

Cohere: Command R7B (12-2024) vs Google: Gemini 2.5 Pro Preview 05-06

Head-to-head API pricing and cost comparison between Cohere’s Cohere: Command R7B (12-2024) and Google’s Google: Gemini 2.5 Pro Preview 05-06. Prices auto-refresh daily from OpenRouter.

Verdict

Cohere: Command R7B (12-2024) is 97% cheaper for input tokens; Cohere: Command R7B (12-2024) also wins on output tokens.

Side-by-side comparison

SpecCohere: Command R7B (12-2024)Google: Gemini 2.5 Pro Preview 05-06
Input price (per 1M)$0.04$1.25
Cached input (per 1M)$0.13
Output price (per 1M)$0.15$10.00
Batch input (per 1M)
Batch output (per 1M)
Reasoning price (per 1M)$10.00
Context window128K1049K
Vision supportNoYes
Caching supportNoYes
Batch APINoNo
Reasoning capabilityNoYes

Monthly cost at volume

Estimated monthly API spend at common production traffic levels (input/output tokens per request shown).

VolumeCohere: Command R7B (12-2024)Google: Gemini 2.5 Pro Preview 05-06Savings
1K req/day
500in / 200out tokens
$1.46$78.75$77.29
Cohere: Command R7B (12-2024) wins
10K req/day
1500in / 500out tokens
$39.38$2,063$2,023
Cohere: Command R7B (12-2024) wins
100K req/day
3000in / 800out tokens
$697.50$35,250$34,553
Cohere: Command R7B (12-2024) wins
1M req/day
8000in / 2000out tokens
$18,000$900,000$882,000
Cohere: Command R7B (12-2024) wins
Open in interactive calculator →

Adjust input/output token counts, request volume, batch & cached pricing.

Related comparisons

Frequently asked questions

Which is cheaper, Cohere: Command R7B (12-2024) or Google: Gemini 2.5 Pro Preview 05-06?

For input tokens, Cohere: Command R7B (12-2024) is roughly 97% cheaper at $0.04/1M vs $1.25/1M. For output tokens, Cohere: Command R7B (12-2024) wins at $0.15/1M. Real-world cost depends on your input/output ratio — use the calculator to model your actual workload.

What’s the context window difference?

Cohere: Command R7B (12-2024) has a context window of 128K tokens. Google: Gemini 2.5 Pro Preview 05-06 offers 1049K 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 Cohere: Command R7B (12-2024) or Google: Gemini 2.5 Pro Preview 05-06?

Choose Cohere: Command R7B (12-2024) if you’re already on the Cohere stack, want broad ecosystem support, or prefer its lower input price. Choose Google: Gemini 2.5 Pro Preview 05-06 for Google’s ecosystem, native vision input, or its differentiated capabilities. 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: Apr 21, 2026.