Command R vs DeepSeek V3.2: API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for Command R (Cohere) and DeepSeek V3.2 (DeepSeek). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.
Prices verified Mar 6, 2026
Interactive Cost Calculator
Fills in typical token counts for a workload type
Tokens in each prompt sent to the model
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Total API calls per month
Showing costs for 2 models. Cheapest: DeepSeek V3.2 at $4.90/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
BestDeepSeek V3.2 | DeepSeek | $4.90 | $0.000490 | $2.80 | $2.10 | 60.8% | Alerts coming soon |
Command R | Cohere | $12.50 | $0.001250 | $5.00 | $7.50 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | Command R | DeepSeek V3.2 | Cheaper |
|---|---|---|---|
| Input (standard) | $0.50/M | $0.28/M | DeepSeek V3.2 |
| Output | $1.50/M | $0.42/M | DeepSeek V3.2 |
| Cached input | N/A | $0.03/M | — |
Prices last verified: 2026-03-06
Cost Breakdown by Usage Volume
Estimated monthly costs at different request volumes, assuming 1,000 input tokens and 500 output tokens per request. Adjust in the calculator above for your specific use case.
| Volume | Command RMonthly | DeepSeek V3.2Monthly | Command RPer request | DeepSeek V3.2Per request |
|---|---|---|---|---|
| 1K requests/mo | $1.25 | $0.49 | $0.001250 | $0.000490 |
| 10K requests/mo | $12.50 | $4.90 | $0.001250 | $0.000490 |
| 100K requests/mo | $125.00 | $49.00 | $0.001250 | $0.000490 |
| 1M requests/mo | $1,250.00 | $490.00 | $0.001250 | $0.000490 |
Green values indicate the lower-cost option at each volume tier. Cost per request is calculated at 1,000 input + 500 output tokens using standard (non-batch, non-cached) pricing.
Price History
Input price per 1M tokensWhen to Choose Command R
by Cohere
- RAG / Semantic search
- General chatbot
- Customer support
Input / 1M tokens
$0.50/M
Output / 1M tokens
$1.50/M
Context window
128,000
Tier
mid
When to Choose DeepSeek V3.2
by DeepSeek
- Code generation
- Content & copywriting
- General chatbot
Input / 1M tokens
$0.28/M
Output / 1M tokens
$0.42/M
Context window
128,000
Tier
premium
Key Differences Beyond Price
Cost is only one factor in choosing an AI model. Context window size, rate limits, supported features, and latency all affect whether a model fits your use case.
| Capability | Command R | DeepSeek V3.2 |
|---|---|---|
| Context window | 128,000 tokens | 128,000 tokens |
| Max output tokens | 4,096 tokens | 8,192 tokens |
| Performance tier | Mid | Premium |
| Vision / image input | No | No |
| Function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | No | Yes |
| Batch API (50% discount) | No | No |
| Extended reasoning | No | No |
| Fine-tuning | No | No |
Command R notes
Good price/performance for RAG. Native tool use and multi-hop reasoning.
DeepSeek V3.2 notes
V3.2 unified pricing. Off-peak pricing (16:30-00:30 UTC) offers further discounts.
Frequently Asked Questions
Is Command R cheaper than DeepSeek V3.2?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), DeepSeek V3.2 costs $49.00/month versus $125.00/month for Command R — a 61% saving. Your actual savings will vary based on your token profile; output-heavy workloads amplify differences in output pricing.
Which model has a larger context window, Command R or DeepSeek V3.2?
Both Command R and DeepSeek V3.2 have the same context window: 128,000 tokens.
Do Command R and DeepSeek V3.2 support the Batch API?
Neither Command R nor DeepSeek V3.2 currently supports a batch API with discounted pricing. For batch-eligible alternatives, consider models from OpenAI, Anthropic, or Google that include batch API support.
Which model offers better prompt caching?
DeepSeek V3.2 supports prompt caching at $0.03/M for cached input, while Command R does not offer prompt caching. For RAG applications or chatbots with large, repeated context, DeepSeek V3.2's caching capability can substantially reduce effective costs.
What are the best use cases for Command R vs DeepSeek V3.2?
Both models are well-suited for General chatbot. Command R is particularly strong for RAG / Semantic search, Customer support. DeepSeek V3.2 is favored for Code generation, Content & copywriting. At the same quality level, the lower-cost model is usually preferable; use this page's calculator to compare total monthly spend at your volume.
What is the cost per request for Command R vs DeepSeek V3.2?
At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Command R costs $0.001250 per request and DeepSeek V3.2 costs $0.000490 per request. At 100,000 requests/month, that translates to $125.00 and $49.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
Command R vs DeepSeek V3.2: Summary
When comparing Command R and DeepSeek V3.2 for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. DeepSeek V3.2 offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $49.00/month, compared to $125.00/month for Command R.
Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Command R charges $0.50/M for input tokens and $1.50/M for output tokens. DeepSeek V3.2 charges $0.28/M input and $0.42/M output. If your workload is output-heavy (more tokens generated than consumed as input), the model with the lower output price compounds cost savings significantly at scale.
Prompt caching is supported by DeepSeek V3.2 but not Command R. For workloads with large, repeated system prompts or document context — such as RAG pipelines or multi-turn conversations with a fixed knowledge base — prompt caching can reduce effective input costs by 60–90%, which may change the cost ranking between these two models at your specific usage pattern.
Context window capacity differs between the two: Both models support 128,000 tokens per request. A larger context window is essential for document summarization, large codebase analysis, and multi-document retrieval-augmented generation (RAG) applications.
Use the interactive calculator at the top of this page to enter your actual token usage and monthly request volume for a precise cost comparison tailored to your workload. Adjust for batch API discounts and prompt caching to find the most cost-effective option for your specific deployment.
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Related Provider Pages
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Relevant Use Cases
See cost recommendations for workloads where Command R or DeepSeek V3.2 is recommended.