DeepSeek V3 (SambaNova) vs Mistral Large 3: API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for DeepSeek V3 (SambaNova) (SambaNova) and Mistral Large 3 (Mistral AI). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.
Prices verified Mar 11, 2026
Interactive Cost Calculator
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Showing costs for 2 models. Cheapest: Mistral Large 3 at $12.50/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
BestMistral Large 3 | Mistral AI | $12.50 | $0.001250 | $5.00 | $7.50 | 28.6% | Alerts coming soon |
DeepSeek V3 (SambaNova) | SambaNova | $17.50 | $0.001750 | $10.00 | $7.50 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | DeepSeek V3 (SambaNova) | Mistral Large 3 | Cheaper |
|---|---|---|---|
| Input (standard) | $1.00/M | $0.50/M | Mistral Large 3 |
| Output | $1.50/M | $1.50/M | — |
Prices last verified: 2026-03-08 – 2026-03-11
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 | DeepSeek V3 (SambaNova)Monthly | Mistral Large 3Monthly | DeepSeek V3 (SambaNova)Per request | Mistral Large 3Per request |
|---|---|---|---|---|
| 1K requests/mo | $1.75 | $1.25 | $0.001750 | $0.001250 |
| 10K requests/mo | $17.50 | $12.50 | $0.001750 | $0.001250 |
| 100K requests/mo | $175.00 | $125.00 | $0.001750 | $0.001250 |
| 1M requests/mo | $1,750.00 | $1,250.00 | $0.001750 | $0.001250 |
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 DeepSeek V3 (SambaNova)
by SambaNova
- Code generation
- General chatbot
- Data extraction
Input / 1M tokens
$1.00/M
Output / 1M tokens
$1.50/M
Context window
128,000
Tier
mid
When to Choose Mistral Large 3
by Mistral AI
- Code generation
- Content & copywriting
- RAG / Semantic search
Input / 1M tokens
$0.50/M
Output / 1M tokens
$1.50/M
Context window
262,144
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 | DeepSeek V3 (SambaNova) | Mistral Large 3 |
|---|---|---|
| Context window | 128,000 tokens | 262,144 tokens |
| Max output tokens | 8,192 tokens | 8,192 tokens |
| Performance tier | Mid | Premium |
| Vision / image input | No | Yes |
| Function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | No | No |
| Batch API (50% discount) | No | No |
| Extended reasoning | No | No |
| Fine-tuning | No | No |
DeepSeek V3 (SambaNova) notes
DeepSeek V3 MoE model on SambaNova. Competitive coding and reasoning performance at mid-tier pricing with high-speed inference.
Mistral Large 3 notes
Major price reduction from original Mistral Large ($2/$6 -> $0.50/$1.50). Supports 80+ languages.
Frequently Asked Questions
Is DeepSeek V3 (SambaNova) cheaper than Mistral Large 3?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Mistral Large 3 costs $125.00/month versus $175.00/month for DeepSeek V3 (SambaNova) — a 29% 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, DeepSeek V3 (SambaNova) or Mistral Large 3?
Mistral Large 3 has a larger context window at 262,144 tokens, compared to 128,000 tokens for DeepSeek V3 (SambaNova). A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.
Do DeepSeek V3 (SambaNova) and Mistral Large 3 support the Batch API?
Neither DeepSeek V3 (SambaNova) nor Mistral Large 3 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?
Neither DeepSeek V3 (SambaNova) nor Mistral Large 3 currently supports prompt caching. For prompt-caching capable alternatives, consider Claude models from Anthropic or GPT-4o from OpenAI.
What are the best use cases for DeepSeek V3 (SambaNova) vs Mistral Large 3?
Both models are well-suited for Code generation. DeepSeek V3 (SambaNova) is particularly strong for General chatbot, Data extraction. Mistral Large 3 is favored for Content & copywriting, RAG / Semantic search. 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 DeepSeek V3 (SambaNova) vs Mistral Large 3?
At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — DeepSeek V3 (SambaNova) costs $0.001750 per request and Mistral Large 3 costs $0.001250 per request. At 100,000 requests/month, that translates to $175.00 and $125.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
DeepSeek V3 (SambaNova) vs Mistral Large 3: Summary
When comparing DeepSeek V3 (SambaNova) and Mistral Large 3 for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Mistral Large 3 offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $125.00/month, compared to $175.00/month for DeepSeek V3 (SambaNova).
Both models are priced in USD per million tokens, the standard unit across all major AI API providers. DeepSeek V3 (SambaNova) charges $1.00/M for input tokens and $1.50/M for output tokens. Mistral Large 3 charges $0.50/M input and $1.50/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.
Context window capacity differs between the two: Mistral Large 3 supports up to 262,144 tokens in a single request, versus 128,000 tokens for DeepSeek V3 (SambaNova). 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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Relevant Use Cases
See cost recommendations for workloads where DeepSeek V3 (SambaNova) or Mistral Large 3 is recommended.