Mistral Large (Bedrock) vs Qwen3 32B (Groq): API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for Mistral Large (Bedrock) (AWS Bedrock) and Qwen3 32B (Groq) (Groq). 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: Qwen3 32B (Groq) at $5.85/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
BestQwen3 32B (Groq) | Groq | $5.85 | $0.000585 | $2.90 | $2.95 | 94.2% | Alerts coming soon |
Mistral Large (Bedrock) | AWS Bedrock | $100.00 | $0.010000 | $40.00 | $60.00 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | Mistral Large (Bedrock) | Qwen3 32B (Groq) | Cheaper |
|---|---|---|---|
| Input (standard) | $4.00/M | $0.29/M | Qwen3 32B (Groq) |
| Output | $12.00/M | $0.59/M | Qwen3 32B (Groq) |
Prices last verified: 2026-03-06 – 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 | Mistral Large (Bedrock)Monthly | Qwen3 32B (Groq)Monthly | Mistral Large (Bedrock)Per request | Qwen3 32B (Groq)Per request |
|---|---|---|---|---|
| 1K requests/mo | $10.00 | $0.58 | $0.010000 | $0.000585 |
| 10K requests/mo | $100.00 | $5.85 | $0.010000 | $0.000585 |
| 100K requests/mo | $1,000.00 | $58.50 | $0.010000 | $0.000585 |
| 1M requests/mo | $10,000.00 | $585.00 | $0.010000 | $0.000585 |
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 Mistral Large (Bedrock)
by AWS Bedrock
- Code generation
- Content Creation
- Summarization
Input / 1M tokens
$4.00/M
Output / 1M tokens
$12.00/M
Context window
128,000
Tier
premium
When to Choose Qwen3 32B (Groq)
by Groq
- General chatbot
- Code generation
Input / 1M tokens
$0.29/M
Output / 1M tokens
$0.59/M
Context window
131,072
Tier
mid
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 | Mistral Large (Bedrock) | Qwen3 32B (Groq) |
|---|---|---|
| Context window | 128,000 tokens | 131,072 tokens |
| Max output tokens | 8,192 tokens | 8,192 tokens |
| Performance tier | Premium | Mid |
| Vision / image input | No | No |
| Function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | No | No |
| Batch API (50% discount) | Yes | No |
| Extended reasoning | No | Yes |
| Fine-tuning | No | No |
| Rate limit (req/min) | Not published | 30 |
Mistral Large (Bedrock) notes
Mistral Large via AWS Bedrock. Strong multilingual performance. Useful for enterprises already on AWS that need Mistral's capabilities with native AWS security.
Qwen3 32B (Groq) notes
Qwen3 32B with reasoning capabilities on Groq hardware.
Frequently Asked Questions
Is Mistral Large (Bedrock) cheaper than Qwen3 32B (Groq)?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Qwen3 32B (Groq) costs $58.50/month versus $1,000.00/month for Mistral Large (Bedrock) — a 94% 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, Mistral Large (Bedrock) or Qwen3 32B (Groq)?
Qwen3 32B (Groq) has a larger context window at 131,072 tokens, compared to 128,000 tokens for Mistral Large (Bedrock). A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.
Do Mistral Large (Bedrock) and Qwen3 32B (Groq) support the Batch API?
Mistral Large (Bedrock) supports the Batch API (50% discount for async processing), while Qwen3 32B (Groq) does not. If your workload tolerates up to 24-hour latency, routing to Mistral Large (Bedrock) with batch pricing could significantly cut costs versus Qwen3 32B (Groq)'s standard rate.
Which model offers better prompt caching?
Neither Mistral Large (Bedrock) nor Qwen3 32B (Groq) 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 Mistral Large (Bedrock) vs Qwen3 32B (Groq)?
Both models are well-suited for Code generation. Mistral Large (Bedrock) is particularly strong for Content Creation, Summarization. Qwen3 32B (Groq) is favored for General chatbot. 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 Mistral Large (Bedrock) vs Qwen3 32B (Groq)?
At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Mistral Large (Bedrock) costs $0.010000 per request and Qwen3 32B (Groq) costs $0.000585 per request. At 100,000 requests/month, that translates to $1,000.00 and $58.50 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
Mistral Large (Bedrock) vs Qwen3 32B (Groq): Summary
When comparing Mistral Large (Bedrock) and Qwen3 32B (Groq) for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Qwen3 32B (Groq) offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $58.50/month, compared to $1,000.00/month for Mistral Large (Bedrock).
Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Mistral Large (Bedrock) charges $4.00/M for input tokens and $12.00/M for output tokens. Qwen3 32B (Groq) charges $0.29/M input and $0.59/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: Qwen3 32B (Groq) supports up to 131,072 tokens in a single request, versus 128,000 tokens for Mistral Large (Bedrock). 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 Mistral Large (Bedrock) or Qwen3 32B (Groq) is recommended.