Command R+ vs Mistral Large 3
Compare Cohere and Mistral AI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Command R+
Mistral Large 3
Cost Differences
Mistral Large 3 costs less than Command R+
Feature Comparison
| Feature | Command R+ | Mistral Large 3 |
|---|---|---|
| Provider | Cohere | Mistral AI |
| Input Price | $2.50/1M tokens | $0.50/1M tokens |
| Output Price | $10.00/1M tokens | $1.50/1M tokens |
| Context Window | 128,000 tokens | 256,000 tokens |
| Max Output | 4,096 tokens | 32,768 tokens |
| Category | flagship | flagship |
| Capabilities | textcodereasoning | textcodereasoning |
| Release Date | 4/4/2024 | 12/2/2025 |
Command R+ vs Mistral Large 3: Which Should You Choose?
Choosing between Command R+ and Mistral Large 3 depends on your priorities: cost efficiency, context length, or raw capability. Mistral Large 3 is the more affordable option at $0.50/1M input tokens — 80% cheaper than Command R+. Meanwhile, Mistral Large 3 offers a significantly larger context window at 256,000 tokens vs 128,000 for Command R+.
These models come from different providers — Cohere and Mistral AI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Cohere, switching to Mistral AIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
Both models are in the flagship category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Mistral Large 3 would save you roughly $1,875.00/month compared to Command R+. For startups and indie developers, that difference can be significant.
Output costs matter too. Command R+ charges $10.00/1M output tokens vs $1.50 for Mistral Large 3. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Mistral Large 3 has the edge here at $1.50/1M output tokens.
Best Use Cases
Choose Command R+ when:
- • You're already using Cohere's API ecosystem
Choose Mistral Large 3 when:
- • Budget is a primary concern
- • You need a larger context window (256,000 tokens)
- • You need longer outputs (up to 32,768 tokens)
- • You're already using Mistral AI's API ecosystem
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Command R+ (Cohere)
Mistral Large 3 (Mistral AI)
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