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DeepSeek V3.1 (Fireworks) vs DeepSeek V4 Flash: API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for DeepSeek V3.1 (Fireworks) (Fireworks AI) and DeepSeek V4 Flash (DeepSeek). 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

Fireworks AIDeepSeek V3.1 (Fireworks)DeepSeekDeepSeek V4 Flash

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 80.0% vs DeepSeek V3.1 (Fireworks)
Alert
BestDeepSeek V4 Flash
DeepSeek$2.80$0.000280$1.40$1.4080.0%Alerts coming soon
DeepSeek V3.1 (Fireworks)
Fireworks AI$14.00$0.001400$5.60$8.40Alerts 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 V3.1 (Fireworks)DeepSeek V4 FlashCheaper
Input (standard)$0.56/M$0.14/MDeepSeek V4 Flash
Output$1.68/M$0.28/MDeepSeek V4 Flash
Cached input$0.28/MN/A
Batch input$0.28/MN/A
Batch output$0.84/MN/A

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 V3.1 (Fireworks)MonthlyDeepSeek V4 FlashMonthlyDeepSeek V3.1 (Fireworks)Per requestDeepSeek V4 FlashPer request
1K requests/mo$1.40$0.28$0.001400$0.000280
10K requests/mo$14.00$2.80$0.001400$0.000280
100K requests/mo$140.00$28.00$0.001400$0.000280
1M requests/mo$1,400.00$280.00$0.001400$0.000280

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 V3.1 (Fireworks)

by Fireworks AI

  • Code generation
  • Document summarization
  • RAG / Semantic search

Input / 1M tokens

$0.56/M

Output / 1M tokens

$1.68/M

Context window

163,840

Tier

mid

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

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 V3.1 (Fireworks)DeepSeek V4 Flash
Context window163,840 tokens1,048,576 tokens
Max output tokens16,384 tokens384,000 tokens
Performance tierMidBudget
Vision / image inputNoNo
Function callingYesYes
JSON modeYesYes
Prompt cachingYesNo
Batch API (50% discount)YesNo
Extended reasoningNoYes
Fine-tuningNoNo

DeepSeek V3.1 (Fireworks) notes

Fireworks serverless pricing. Cached input 50% discount. Batch inference at 50% of serverless rates.

Frequently Asked Questions

Is DeepSeek V3.1 (Fireworks) cheaper than DeepSeek V4 Flash?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), DeepSeek V4 Flash costs $28.00/month versus $140.00/month for DeepSeek V3.1 (Fireworks) — a 80% 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 V3.1 (Fireworks) or DeepSeek V4 Flash?

DeepSeek V4 Flash has a larger context window at 1,048,576 tokens, compared to 163,840 tokens for DeepSeek V3.1 (Fireworks). A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.

Do DeepSeek V3.1 (Fireworks) and DeepSeek V4 Flash support the Batch API?

DeepSeek V3.1 (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 DeepSeek V3.1 (Fireworks) with batch pricing could significantly cut costs versus DeepSeek V4 Flash's standard rate.

Which model offers better prompt caching?

DeepSeek V3.1 (Fireworks) supports prompt caching at $0.28/M for cached input, while DeepSeek V4 Flash does not offer prompt caching. For RAG applications or chatbots with large, repeated context, DeepSeek V3.1 (Fireworks)'s caching capability can substantially reduce effective costs.

What are the best use cases for DeepSeek V3.1 (Fireworks) vs DeepSeek V4 Flash?

DeepSeek V3.1 (Fireworks) is best suited for Code generation, Document summarization, RAG / Semantic search, while DeepSeek V4 Flash is optimized for General chatbot. Choose based on which use case matches your primary workload — and validate with the cost calculator above to confirm the total monthly spend fits your budget.

What is the cost per request for DeepSeek V3.1 (Fireworks) vs DeepSeek V4 Flash?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — DeepSeek V3.1 (Fireworks) costs $0.001400 per request and DeepSeek V4 Flash costs $0.000280 per request. At 100,000 requests/month, that translates to $140.00 and $28.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

DeepSeek V3.1 (Fireworks) vs DeepSeek V4 Flash: Summary

When comparing DeepSeek V3.1 (Fireworks) and DeepSeek V4 Flash 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 $140.00/month for DeepSeek V3.1 (Fireworks).

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. DeepSeek V3.1 (Fireworks) charges $0.56/M for input tokens and $1.68/M for output tokens. DeepSeek V4 Flash charges $0.14/M input and $0.28/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 V3.1 (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 163,840 tokens for DeepSeek V3.1 (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 V3.1 (Fireworks) or DeepSeek V4 Flash is recommended.