Gemini 1.5 Pro vs Codestral 25.01
| Gemini 1.5 Pro | Codestral 25.01 | |
|---|---|---|
| Provider | Mistral | |
| Context Window | 2,000,000 | 32,768 |
| Release Date | 2024-02-15 | 2025-01-13 |
| Input Price | $1.25/ 1M tokens | $0.30/ 1M tokens |
| Output Price | $5.00/ 1M tokens | $0.90/ 1M tokens |
| Best for | multimodal · long-context analysis · chatbot · document processing | — |
Capabilities
| Gemini 1.5 Pro | Codestral 25.01 | |
|---|---|---|
| Vision | ✓ | ✗ |
| Reasoning | ✓ | ✗ |
| Coding | ✓ | ✗ |
| Audio | ✓ | ✗ |
| Tools | ✓ | ✗ |
| Long Context | ✓ | ✗ |
Ranking Comparison
| Gemini 1.5 Pro | Codestral 25.01 | |
|---|---|---|
| Overall | 76.9 | 13 |
| Benchmark | 70.8 | 0 |
| Capability | 100 | 0 |
| Price Efficiency | 100 | 100 |
| Context | 100 | 16.4 |
Overall = Benchmark 50% + Capability 20% + Price Efficiency 20% + Context 10%.
Benchmark Comparison
| Gemini 1.5 Pro | Codestral 25.01 | |
|---|---|---|
| Coding | — | — |
| Reasoning | — | — |
| Math | — | — |
| Vision | — | — |
Price History
Gemini 1.5 Pro
| Date | Input | Output |
|---|---|---|
| 2026-08-11 | $1.25 | $5.00 |
/ 1M tokens
Codestral 25.01
No price history yet.
/ 1M tokens
Gemini 1.5 Pro
Google's long-context multimodal model supporting up to 2M tokens.
Codestral 25.01
Codestral 25.01 coding model
Gemini 1.5 Pro
Data Reliability
Benchmark · VerifiedOfficial · Verified
Data confidence: 90%
Codestral 25.01
Data Reliability
Benchmark · ExperimentalOfficial · Experimental
Data confidence: 50%
Why compare these models?
Choose Gemini 1.5 Pro if:
- • Higher overall score
Choose Codestral 25.01 if:
- • Lower input price
Frequently Asked Questions
Which model is better: Gemini 1.5 Pro or Codestral 25.01?
Based on overall scores, Gemini 1.5 Pro ranks higher (76.9 vs 13). See the comparison table for a full breakdown.
Which model is cheaper: Gemini 1.5 Pro or Codestral 25.01?
Codestral 25.01 is cheaper: $0.3 vs $1.25 per 1M input tokens.
What are the capability differences between Gemini 1.5 Pro and Codestral 25.01?
Gemini 1.5 Pro: Vision, Reasoning, Coding, Audio, Tools, Long Context