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DeepSeek V4 Flash vs Qwen3 VL 30B (Fireworks): API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for DeepSeek V4 Flash (DeepSeek) and Qwen3 VL 30B (Fireworks) (Fireworks AI). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.

Prices verified Apr 30, 2026

Interactive Cost Calculator

DeepSeekDeepSeek V4 FlashFireworks AIQwen3 VL 30B (Fireworks)

Fills in typical token counts for a workload type

Tokens in each prompt sent to the model

Tokens generated in each response

Total API calls per month

Showing costs for 2 models. Cheapest: DeepSeek V4 Flash at $2.80/month.

Cheapest: DeepSeek V4 Flash at $2.80/mo — save 37.8% vs Qwen3 VL 30B (Fireworks)
Alert
BestDeepSeek V4 Flash
DeepSeek$2.80$0.000280$1.40$1.4037.8%Alerts coming soon
Qwen3 VL 30B (Fireworks)
Fireworks AI$4.50$0.000450$1.50$3.00Alerts 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 TypeDeepSeek V4 FlashQwen3 VL 30B (Fireworks)Cheaper
Input (standard)$0.14/M$0.15/MDeepSeek V4 Flash
Output$0.28/M$0.60/MDeepSeek V4 Flash
Cached inputN/A$0.08/M
Batch inputN/A$0.08/M
Batch outputN/A$0.30/M

Prices last verified: 2026-03-10 – 2026-04-30

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.

VolumeDeepSeek V4 FlashMonthlyQwen3 VL 30B (Fireworks)MonthlyDeepSeek V4 FlashPer requestQwen3 VL 30B (Fireworks)Per request
1K requests/mo$0.28$0.45$0.000280$0.000450
10K requests/mo$2.80$4.50$0.000280$0.000450
100K requests/mo$28.00$45.00$0.000280$0.000450
1M requests/mo$280.00$450.00$0.000280$0.000450

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 tokens

When to Choose DeepSeek V4 Flash

by DeepSeek

  • General chatbot

Input / 1M tokens

$0.14/M

Output / 1M tokens

$0.28/M

Context window

1,048,576

Tier

budget

When 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

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.

CapabilityDeepSeek V4 FlashQwen3 VL 30B (Fireworks)
Context window1,048,576 tokens262,144 tokens
Max output tokens384,000 tokens8,192 tokens
Performance tierBudgetMid
Vision / image inputNoYes
Function callingYesYes
JSON modeYesYes
Prompt cachingNoYes
Batch API (50% discount)NoYes
Extended reasoningYesNo
Fine-tuningNoNo

Qwen3 VL 30B (Fireworks) notes

Fireworks serverless pricing. Vision/multimodal capable. Cached input 50% discount.

Frequently Asked Questions

Is DeepSeek V4 Flash cheaper than Qwen3 VL 30B (Fireworks)?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), DeepSeek V4 Flash costs $28.00/month versus $45.00/month for Qwen3 VL 30B (Fireworks) — a 38% 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 V4 Flash or Qwen3 VL 30B (Fireworks)?

DeepSeek V4 Flash has a larger context window at 1,048,576 tokens, compared to 262,144 tokens for Qwen3 VL 30B (Fireworks). A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.

Do DeepSeek V4 Flash and Qwen3 VL 30B (Fireworks) support the Batch API?

Qwen3 VL 30B (Fireworks) supports the Batch API (50% discount for async processing), while DeepSeek V4 Flash 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 DeepSeek V4 Flash's standard rate.

Which model offers better prompt caching?

Qwen3 VL 30B (Fireworks) supports prompt caching at $0.08/M for cached input, while DeepSeek V4 Flash 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 DeepSeek V4 Flash vs Qwen3 VL 30B (Fireworks)?

Both models are well-suited for General chatbot. DeepSeek V4 Flash is particularly strong for overlapping tasks. Qwen3 VL 30B (Fireworks) is favored for Document summarization. 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 V4 Flash vs Qwen3 VL 30B (Fireworks)?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — DeepSeek V4 Flash costs $0.000280 per request and Qwen3 VL 30B (Fireworks) costs $0.000450 per request. At 100,000 requests/month, that translates to $28.00 and $45.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

DeepSeek V4 Flash vs Qwen3 VL 30B (Fireworks): Summary

When comparing DeepSeek V4 Flash and Qwen3 VL 30B (Fireworks) for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. DeepSeek V4 Flash offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $28.00/month, compared to $45.00/month for Qwen3 VL 30B (Fireworks).

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. DeepSeek V4 Flash charges $0.14/M for input tokens and $0.28/M for output tokens. Qwen3 VL 30B (Fireworks) charges $0.15/M input and $0.60/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 DeepSeek V4 Flash. 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: DeepSeek V4 Flash supports up to 1,048,576 tokens in a single request, versus 262,144 tokens for Qwen3 VL 30B (Fireworks). 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.

Explore other model comparisons from the same providers or performance tiers.

Related Provider Pages

View complete pricing tables and model lineups for the providers behind these models.

Relevant Use Cases

See cost recommendations for workloads where DeepSeek V4 Flash or Qwen3 VL 30B (Fireworks) is recommended.