DeepSeek V3.1 (Fireworks) vs Gemini 2.5 Pro: API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for DeepSeek V3.1 (Fireworks) (Fireworks AI) and Gemini 2.5 Pro (Google). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.
Prices verified Mar 24, 2026
Interactive Cost Calculator
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 V3.1 (Fireworks) at $14.00/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
BestDeepSeek V3.1 (Fireworks) | Fireworks AI | $14.00 | $0.001400 | $5.60 | $8.40 | 77.6% | Alerts coming soon |
Gemini 2.5 Pro | $62.50 | $0.006250 | $12.50 | $50.00 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | DeepSeek V3.1 (Fireworks) | Gemini 2.5 Pro | Cheaper |
|---|---|---|---|
| Input (standard) | $0.56/M | $1.25/M | DeepSeek V3.1 (Fireworks) |
| Output | $1.68/M | $10.00/M | DeepSeek V3.1 (Fireworks) |
| Cached input | $0.28/M | $0.13/M | Gemini 2.5 Pro |
| Batch input | $0.28/M | $0.63/M | DeepSeek V3.1 (Fireworks) |
| Batch output | $0.84/M | $5.00/M | DeepSeek V3.1 (Fireworks) |
Prices last verified: 2026-03-10 – 2026-03-24
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 V3.1 (Fireworks)Monthly | Gemini 2.5 ProMonthly | DeepSeek V3.1 (Fireworks)Per request | Gemini 2.5 ProPer request |
|---|---|---|---|---|
| 1K requests/mo | $1.40 | $6.25 | $0.001400 | $0.006250 |
| 10K requests/mo | $14.00 | $62.50 | $0.001400 | $0.006250 |
| 100K requests/mo | $140.00 | $625.00 | $0.001400 | $0.006250 |
| 1M requests/mo | $1,400.00 | $6,250.00 | $0.001400 | $0.006250 |
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 V3.1 (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 Gemini 2.5 Pro
by Google
- Document summarization
- RAG / Semantic search
- Code generation
Input / 1M tokens
$1.25/M
Output / 1M tokens
$10.00/M
Context window
1,048,576
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 V3.1 (Fireworks) | Gemini 2.5 Pro |
|---|---|---|
| Context window | 163,840 tokens | 1,048,576 tokens |
| Max output tokens | 16,384 tokens | 65,536 tokens |
| Performance tier | Mid | Premium |
| Vision / image input | No | Yes |
| Function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | Yes | Yes |
| Batch API (50% discount) | Yes | Yes |
| Extended reasoning | No | Yes |
| Fine-tuning | No | No |
| Rate limit (req/min) | Not published | 1,000 |
DeepSeek V3.1 (Fireworks) notes
Fireworks serverless pricing. Cached input 50% discount. Batch inference at 50% of serverless rates.
Gemini 2.5 Pro notes
Tiered pricing: prompts over 200K tokens billed at $2.50 input / $15.00 output. Thinking tokens available.
Frequently Asked Questions
Is DeepSeek V3.1 (Fireworks) cheaper than Gemini 2.5 Pro?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), DeepSeek V3.1 (Fireworks) costs $140.00/month versus $625.00/month for Gemini 2.5 Pro — a 78% 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 Gemini 2.5 Pro?
Gemini 2.5 Pro 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 Gemini 2.5 Pro support the Batch API?
Yes — both DeepSeek V3.1 (Fireworks) and Gemini 2.5 Pro support batch API processing, which offers a 50% discount on input and output costs in exchange for up to 24-hour turnaround. Ideal for offline workloads like bulk document processing or nightly classification pipelines.
Which model offers better prompt caching?
Both DeepSeek V3.1 (Fireworks) and Gemini 2.5 Pro support prompt caching. DeepSeek V3.1 (Fireworks) caches repeated input at $0.28/M (vs $0.56/M standard), while Gemini 2.5 Pro caches at $0.13/M (vs $1.25/M standard). For workloads with large, repeated system prompts or document context, caching can reduce effective input costs by 60–90%.
What are the best use cases for DeepSeek V3.1 (Fireworks) vs Gemini 2.5 Pro?
Both models are well-suited for Code generation, Document summarization, RAG / Semantic search. DeepSeek V3.1 (Fireworks) is particularly strong for overlapping tasks. Gemini 2.5 Pro is favored for similar workflows. 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 V3.1 (Fireworks) vs Gemini 2.5 Pro?
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 Gemini 2.5 Pro costs $0.006250 per request. At 100,000 requests/month, that translates to $140.00 and $625.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
DeepSeek V3.1 (Fireworks) vs Gemini 2.5 Pro: Summary
When comparing DeepSeek V3.1 (Fireworks) and Gemini 2.5 Pro for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. DeepSeek V3.1 (Fireworks) offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $140.00/month, compared to $625.00/month for Gemini 2.5 Pro.
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. Gemini 2.5 Pro charges $1.25/M input and $10.00/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 both models. 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: Gemini 2.5 Pro 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.
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