Qwen3 VL 30B (Fireworks) vs Sonar Pro: API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for Qwen3 VL 30B (Fireworks) (Fireworks AI) and Sonar Pro (Perplexity). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.
Prices verified Mar 10, 2026
Interactive Cost Calculator
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Showing costs for 2 models. Cheapest: Qwen3 VL 30B (Fireworks) at $4.50/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
BestQwen3 VL 30B (Fireworks) | Fireworks AI | $4.50 | $0.000450 | $1.50 | $3.00 | 95.7% | Alerts coming soon |
Sonar Pro | Perplexity | $105.00 | $0.010500 | $30.00 | $75.00 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | Qwen3 VL 30B (Fireworks) | Sonar Pro | Cheaper |
|---|---|---|---|
| Input (standard) | $0.15/M | $3.00/M | Qwen3 VL 30B (Fireworks) |
| Output | $0.60/M | $15.00/M | Qwen3 VL 30B (Fireworks) |
| Cached input | $0.08/M | N/A | — |
| Batch input | $0.08/M | N/A | — |
| Batch output | $0.30/M | N/A | — |
Prices last verified: 2026-03-10
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 | Qwen3 VL 30B (Fireworks)Monthly | Sonar ProMonthly | Qwen3 VL 30B (Fireworks)Per request | Sonar ProPer request |
|---|---|---|---|---|
| 1K requests/mo | $0.45 | $10.50 | $0.000450 | $0.010500 |
| 10K requests/mo | $4.50 | $105.00 | $0.000450 | $0.010500 |
| 100K requests/mo | $45.00 | $1,050.00 | $0.000450 | $0.010500 |
| 1M requests/mo | $450.00 | $10,500.00 | $0.000450 | $0.010500 |
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 Qwen3 VL 30B (Fireworks)
by Fireworks AI
- Document summarization
- General chatbot
Input / 1M tokens
$0.15/M
Output / 1M tokens
$0.60/M
Context window
262,144
Tier
mid
When to Choose Sonar Pro
by Perplexity
- RAG / Semantic search
- Document summarization
- General chatbot
Input / 1M tokens
$3.00/M
Output / 1M tokens
$15.00/M
Context window
200,000
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 | Qwen3 VL 30B (Fireworks) | Sonar Pro |
|---|---|---|
| Context window | 262,144 tokens | 200,000 tokens |
| Max output tokens | 8,192 tokens | 8,192 tokens |
| Performance tier | Mid | Premium |
| Vision / image input | Yes | No |
| Function calling | Yes | No |
| JSON mode | Yes | No |
| Prompt caching | Yes | No |
| Batch API (50% discount) | Yes | No |
| Extended reasoning | No | No |
| Fine-tuning | No | No |
Qwen3 VL 30B (Fireworks) notes
Fireworks serverless pricing. Vision/multimodal capable. Cached input 50% discount.
Sonar Pro notes
Search pricing: $6-$14 per 1,000 requests. Pro Search surcharge: $14-$22 per 1,000 requests. Best for complex multi-step research queries.
Frequently Asked Questions
Is Qwen3 VL 30B (Fireworks) cheaper than Sonar Pro?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Qwen3 VL 30B (Fireworks) costs $45.00/month versus $1,050.00/month for Sonar Pro — a 96% 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, Qwen3 VL 30B (Fireworks) or Sonar Pro?
Qwen3 VL 30B (Fireworks) has a larger context window at 262,144 tokens, compared to 200,000 tokens for Sonar Pro. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.
Do Qwen3 VL 30B (Fireworks) and Sonar Pro support the Batch API?
Qwen3 VL 30B (Fireworks) supports the Batch API (50% discount for async processing), while Sonar Pro does not. If your workload tolerates up to 24-hour latency, routing to Qwen3 VL 30B (Fireworks) with batch pricing could significantly cut costs versus Sonar Pro's standard rate.
Which model offers better prompt caching?
Qwen3 VL 30B (Fireworks) supports prompt caching at $0.08/M for cached input, while Sonar Pro does not offer prompt caching. For RAG applications or chatbots with large, repeated context, Qwen3 VL 30B (Fireworks)'s caching capability can substantially reduce effective costs.
What are the best use cases for Qwen3 VL 30B (Fireworks) vs Sonar Pro?
Both models are well-suited for Document summarization, General chatbot. Qwen3 VL 30B (Fireworks) is particularly strong for overlapping tasks. Sonar Pro is favored for 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 Qwen3 VL 30B (Fireworks) vs Sonar Pro?
At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Qwen3 VL 30B (Fireworks) costs $0.000450 per request and Sonar Pro costs $0.010500 per request. At 100,000 requests/month, that translates to $45.00 and $1,050.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
Qwen3 VL 30B (Fireworks) vs Sonar Pro: Summary
When comparing Qwen3 VL 30B (Fireworks) and Sonar Pro for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Qwen3 VL 30B (Fireworks) offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $45.00/month, compared to $1,050.00/month for Sonar Pro.
Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Qwen3 VL 30B (Fireworks) charges $0.15/M for input tokens and $0.60/M for output tokens. Sonar Pro charges $3.00/M input and $15.00/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 Qwen3 VL 30B (Fireworks) but not Sonar Pro. 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: Qwen3 VL 30B (Fireworks) supports up to 262,144 tokens in a single request, versus 200,000 tokens for Sonar Pro. 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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