DeepSeek V4 Pro vs Gemma 4 26B A4B : API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for DeepSeek V4 Pro (DeepSeek) and Gemma 4 26B A4B (Google). 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
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Showing costs for 2 models. Cheapest: Gemma 4 26B A4B at $3.30/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
BestGemma 4 26B A4B | $3.30 | $0.000330 | $1.30 | $2.00 | 62.1% | Alerts coming soon | |
DeepSeek V4 Pro | DeepSeek | $8.70 | $0.000870 | $4.35 | $4.35 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | DeepSeek V4 Pro | Gemma 4 26B A4B | Cheaper |
|---|---|---|---|
| Input (standard) | $0.44/M | $0.13/M | Gemma 4 26B A4B |
| Output | $0.87/M | $0.40/M | Gemma 4 26B A4B |
Prices last verified: 2026-04-05 – 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.
| Volume | DeepSeek V4 ProMonthly | Gemma 4 26B A4B Monthly | DeepSeek V4 ProPer request | Gemma 4 26B A4B Per request |
|---|---|---|---|---|
| 1K requests/mo | $0.87 | $0.33 | $0.000870 | $0.000330 |
| 10K requests/mo | $8.70 | $3.30 | $0.000870 | $0.000330 |
| 100K requests/mo | $87.00 | $33.00 | $0.000870 | $0.000330 |
| 1M requests/mo | $870.00 | $330.00 | $0.000870 | $0.000330 |
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.
When to Choose DeepSeek V4 Pro
by DeepSeek
- General chatbot
Input / 1M tokens
$0.44/M
Output / 1M tokens
$0.87/M
Context window
1,048,576
Tier
premium
When to Choose Gemma 4 26B A4B
by Google
- General chatbot
Input / 1M tokens
$0.13/M
Output / 1M tokens
$0.40/M
Context window
262,144
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.
| Capability | DeepSeek V4 Pro | Gemma 4 26B A4B |
|---|---|---|
| Context window | 1,048,576 tokens | 262,144 tokens |
| Max output tokens | 384,000 tokens | 262,144 tokens |
| Performance tier | Premium | Budget |
| Vision / image input | No | Yes |
| Function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | No | No |
| Batch API (50% discount) | No | No |
| Extended reasoning | Yes | Yes |
| Fine-tuning | No | No |
Frequently Asked Questions
Is DeepSeek V4 Pro cheaper than Gemma 4 26B A4B ?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Gemma 4 26B A4B costs $33.00/month versus $87.00/month for DeepSeek V4 Pro — a 62% 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 Pro or Gemma 4 26B A4B ?
DeepSeek V4 Pro has a larger context window at 1,048,576 tokens, compared to 262,144 tokens for Gemma 4 26B A4B . A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.
Do DeepSeek V4 Pro and Gemma 4 26B A4B support the Batch API?
Neither DeepSeek V4 Pro nor Gemma 4 26B A4B currently supports a batch API with discounted pricing. For batch-eligible alternatives, consider models from OpenAI, Anthropic, or Google that include batch API support.
Which model offers better prompt caching?
Neither DeepSeek V4 Pro nor Gemma 4 26B A4B 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 DeepSeek V4 Pro vs Gemma 4 26B A4B ?
Both models are well-suited for General chatbot. DeepSeek V4 Pro is particularly strong for overlapping tasks. Gemma 4 26B A4B 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 V4 Pro vs Gemma 4 26B A4B ?
At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — DeepSeek V4 Pro costs $0.000870 per request and Gemma 4 26B A4B costs $0.000330 per request. At 100,000 requests/month, that translates to $87.00 and $33.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
DeepSeek V4 Pro vs Gemma 4 26B A4B : Summary
When comparing DeepSeek V4 Pro and Gemma 4 26B A4B for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Gemma 4 26B A4B offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $33.00/month, compared to $87.00/month for DeepSeek V4 Pro.
Both models are priced in USD per million tokens, the standard unit across all major AI API providers. DeepSeek V4 Pro charges $0.44/M for input tokens and $0.87/M for output tokens. Gemma 4 26B A4B charges $0.13/M input and $0.40/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: DeepSeek V4 Pro supports up to 1,048,576 tokens in a single request, versus 262,144 tokens for Gemma 4 26B A4B . 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
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