OpenAI vs Cohere
OpenAI (100 models) vs Cohere (6 models) - compared across composite scores, pricing, capabilities, and context windows.
OpenAI
View all modelsCohere
View all modelsHead-to-Head: OpenAI vs Cohere Model Matchups
| OpenAI | Score | vs | Cohere | Score |
|---|---|---|---|---|
| GPT-5.5 Pro | 93 | Command A+ | 52 | |
| GPT-5.5 Pro (batch) | 93 | Command R (08-2024) | 41 | |
| GPT-5.5 | 93 | North Mini Code (free) | 40 | |
| GPT-5.4 Pro | 92 | Command R7B (12-2024) | 37 |
Capability Comparison
| Capability | OpenAI | Cohere | Leader |
|---|---|---|---|
Vision | 87/100 | 1/6 | OpenAI |
Reasoning | 76/100 | 2/6 | OpenAI |
Function Calling | 95/100 | 6/6 | OpenAI |
JSON Mode | 98/100 | 5/6 | OpenAI |
Web Search | 82/100 | 0/6 | OpenAI |
Streaming | 98/100 | 6/6 | OpenAI |
Image Output | 4/100 | 0/6 | OpenAI |
Pricing Comparison
| Metric | OpenAI | Cohere |
|---|---|---|
| Cheapest Input (per 1M tokens) | $0.012 gpt-oss-120b | $0.037 Command R7B (12-2024) |
| Cheapest Output (per 1M tokens) | $0.045 | $0.150 |
| Most Expensive Input (per 1M tokens) | $30.00 GPT-5.5 Pro | $2.50 Command A |
| Most Expensive Output (per 1M tokens) | $180.00 | $10.00 |
| Free Models | 0 | 1 |
| Max Context Window | 1.1M | 256K |
All OpenAI Models (100)
| Model | Score | Input $/M | Output $/M |
|---|---|---|---|
| GPT-5.5 Pro | 93 | $30.00 | $180.00 |
| GPT-5.5 Pro (batch) | 93 | $15.00 | $90.00 |
| GPT-5.5 | 93 | $5.00 | $30.00 |
| GPT-5.4 Pro | 92 | $30.00 | $180.00 |
| GPT-5.4 Pro (batch) | 92 | $15.00 | $90.00 |
| GPT-5.4 | 92 | $2.50 | $15.00 |
| GPT-5.3-Codex | 91 | $1.75 | $14.00 |
| GPT-5.2-Codex | 91 | $1.75 | $14.00 |
| GPT-5.2 Chat | 91 | $1.75 | $14.00 |
| GPT-5.2 Pro | 91 | $21.00 | $168.00 |
| GPT-5.2 Pro (batch) | 91 | $10.50 | $84.00 |
| GPT-5.2 | 91 | $1.75 | $14.00 |
| GPT-5.6 Luna Pro | 89 | $0.200 | $1.20 |
| GPT-5.6 Luna Pro (batch) | 89 | $0.100 | $0.600 |
| GPT-5.6 Luna | 89 | $0.200 | $1.20 |
| GPT-5.6 Luna (batch) | 89 | $0.100 | $0.600 |
| GPT-5.6 Terra Pro | 89 | $2.00 | $12.00 |
| GPT-5.6 Terra Pro (batch) | 89 | $1.00 | $6.00 |
| GPT-5.6 Terra | 89 | $2.00 | $12.00 |
| GPT-5.6 Terra (batch) | 89 | $1.00 | $6.00 |
All Cohere Models (6)
| Model | Score | Input $/M | Output $/M |
|---|---|---|---|
| Command A+ | 52 | $0.300 | $1.50 |
| Command A | 52 | $2.50 | $10.00 |
| Command R (08-2024) | 41 | $0.150 | $0.600 |
| Command R+ (08-2024) | 41 | $2.50 | $10.00 |
| North Mini Code (free) | 40 | Free | Free |
| Command R7B (12-2024) | 37 | $0.037 | $0.150 |
More Provider Comparisons
Compare any two AI providers side-by-side.
OpenAI's 64-model portfolio reflects a fragmentation strategy with multiple versions, fine-tunes, and specialized models (42 with vision, 57 with function calling), while Cohere focuses on 4 general-purpose models with consistent capabilities. This means OpenAI users face more complex model selection decisions but get specialized options like GPT-5.4 (67/100 score) for specific tasks, whereas Cohere users get simpler deployments with Command R+ (38/100 score) handling most use cases at $10.00/M tokens output.
Cohere has 0 of 4 models supporting vision, making it unsuitable for any image analysis, document processing, or multimodal workflows, while OpenAI offers vision in 42 of 64 models (66%) including their top performers. This capability gap means teams needing OCR, visual QA, or image-to-text must use OpenAI despite Cohere's competitive text performance at 36/100 average score versus OpenAI's 49/100.
OpenAI's pricing spans from commodity models at $0.110/M tokens to specialized high-compute models at $600/M, reflecting everything from basic chat to advanced reasoning systems across their 64-model range. Cohere's narrower $0.150-$10.00/M range across just 4 models suggests a focus on production text generation without the extreme ends of OpenAI's portfolio, though their cheapest option still costs 36% more than OpenAI's entry point.
Despite OpenAI's 5 open source models representing only 8% of their 64-model portfolio, they still provide more self-hosting options than Cohere's single open model (25% of their 4 total). However, neither provider truly prioritizes on-premise deployment compared to API-first operations, with OpenAI's top performer GPT-5.4 (67/100) and Cohere's Command R+ (38/100) both remaining closed source.
OpenAI's 1.1M token context window enables processing entire codebases or book-length documents in a single call, while Cohere's 256K limit requires chunking strategies for large inputs despite still exceeding most practical needs. This 4.3x context advantage matters most for specialized use cases like repository-wide code analysis or legal document review, though both far exceed typical conversation needs where Cohere's lower pricing ($0.150/M minimum) might offset the limitation.
Cohere's Command R+ (38/100) targets production deployments requiring consistent performance and SLAs at $10.00/M tokens, while OpenAI's 2 free models likely have usage limits, rate restrictions, or no enterprise support despite potentially higher scores. The choice reflects a build-vs-buy decision where Cohere users pay for reliability and simplicity across their 4-model lineup versus navigating OpenAI's complex 64-model ecosystem with varying availability tiers.