Mistral AI (24 models) vs Cohere (4 models) - compared across composite scores, pricing, capabilities, and context windows.
| Mistral AI | Score | vs | Cohere | Score |
|---|---|---|---|---|
| Mistral Large 3 2512 | 67 | Command A | 51 | |
| Mistral Large | 66 | Command R+ (08-2024) | 49 | |
| Mixtral 8x22B Instruct | 63 | Command R7B (12-2024) | 36 |
| Capability | Mistral AI | Cohere | Leader |
|---|---|---|---|
Vision | 11/24 | 0/4 | Mistral AI |
Reasoning | 2/24 | 0/4 | Mistral AI |
Function Calling | 21/24 | 2/4 | Mistral AI |
JSON Mode | 22/24 | 4/4 | Mistral AI |
Web Search | 0/24 | 0/4 | Tie |
Streaming | 24/24 | 4/4 | Mistral AI |
Image Output | 0/24 | 0/4 | Tie |
| Metric | Mistral AI | Cohere |
|---|---|---|
| Cheapest Input (per 1M tokens) | $0.020 Mistral Nemo | $0.037 Command R7B (12-2024) |
| Cheapest Output (per 1M tokens) | $0.030 | $0.150 |
| Most Expensive Input (per 1M tokens) | $2.00 Mistral Medium 3.5 | $2.50 Command A |
| Most Expensive Output (per 1M tokens) | $7.50 | $10.00 |
| Free Models | 0 | 0 |
| Max Context Window | 262K | 256K |
| Model | Score | Input $/M | Output $/M |
|---|---|---|---|
| Mistral Large 3 2512 | 67 | $0.500 | $1.50 |
| Mistral Large | 66 | $2.00 | $6.00 |
| Mixtral 8x22B Instruct | 63 | $2.00 | $6.00 |
| Mistral Large 2407 | 56 | $2.00 | $6.00 |
| Devstral Small 1.1 | 47 | $0.100 | $0.300 |
| Devstral 2 2512 | 46 | $0.400 | $2.00 |
| Devstral Medium | 45 | $0.400 | $2.00 |
| Mistral Medium 3.5 | 40 | $1.50 | $7.50 |
| Mistral Small 4 | 40 | $0.150 | $0.600 |
| Ministral 3 14B 2512 | 40 | $0.200 | $0.200 |
| Ministral 3 8B 2512 | 40 | $0.150 | $0.150 |
| Ministral 3 3B 2512 | 40 | $0.100 | $0.100 |
| Mistral Medium 3.1 | 40 | $0.400 | $2.00 |
| Codestral 2508 | 40 | $0.300 | $0.900 |
| Mistral Small 3.2 24B | 40 | $0.075 | $0.200 |
| Mistral Small 3.1 24B | 40 | $0.350 | $0.560 |
| Saba | 40 | $0.200 | $0.600 |
| Mistral Small 3 | 40 | $0.050 | $0.080 |
| Mistral Large 2411 | 40 | $2.00 | $6.00 |
| Pixtral Large 2411 | 40 | $2.00 | $6.00 |
| Model | Score | Input $/M | Output $/M |
|---|---|---|---|
| Command A | 51 | $2.50 | $10.00 |
| Command R+ (08-2024) | 49 | $2.50 | $10.00 |
| Command R (08-2024) | 49 | $0.150 | $0.600 |
| Command R7B (12-2024) | 36 | $0.037 | $0.150 |
Compare any two AI providers side-by-side.
Mistral AI's portfolio strategy emphasizes variety and open source accessibility with 14 open models compared to Cohere's single open source offering. This approach trades depth for breadth, resulting in a 40/100 average score across their lineup versus Cohere's more focused 36/100 average with 4 models, though neither provider breaks into the high-performance tier above 60/100.
Mistral AI's entry price is 73% lower than Cohere's, making it attractive for high-volume applications despite the modest performance gap (51/100 vs 38/100 top scores). However, at the premium tier, Cohere's $10.00/M ceiling exceeds Mistral AI's $6.00/M maximum, suggesting Cohere positions their Command R+ (08-2024) as a more premium offering despite its lower benchmark score.
Mistral AI has invested in multimodal capabilities with 40% of their models supporting vision, while Cohere remains purely text-focused. This gap extends to function calling where Mistral AI covers 88% of their portfolio (22/25 models) versus Cohere's 50% coverage (2/4 models), making Mistral AI the clear choice for applications requiring visual understanding or extensive tool integration.
Despite similar maximum context lengths (262K for Mistral AI vs 256K for Cohere), neither provider excels in long-context scenarios with their top models scoring only 51/100 and 38/100 respectively. The 13-point performance gap favors Mistral AI, but developers needing robust long-context processing should consider that both providers' best models underperform relative to industry leaders scoring 70+ on similar benchmarks.
Mistral AI provides 14 open source options covering 56% of their portfolio, enabling self-hosted deployments across various performance tiers from $0.040/M to $6.00/M equivalent pricing. Cohere's lone open source model represents just 25% of their lineup, forcing most users into their managed API with prices starting at $0.150/M, a strategy that prioritizes revenue per user over ecosystem adoption.