Model pricing

DeepSeek Coder V4 pricing

DeepSeek Coder V4 by DeepSeek costs $0.28 per 1M input tokens and

DeepSeek Coder V4 pricing

.12 per 1M output tokens (cached input $0.028, batch input not recorded) as of 2026-10-31. A 1,000-input/500-output request costs $0.00084. The lowest-cost alternative with at least this context window and the same recorded reasoning category is Ling 2.6 Flash at $0.01/$0.03; capability equivalence is not guaranteed.

ProviderDeepSeek
Input $/M$0.280
Output $/M$1.12
Context window128,000

Notes

Coding model

Key pricing facts

FactValue
Input / 1M tokens$0.28
Output / 1M tokens$1.12
Cached input / 1M$0.028
Batch input / output / 1MNot recorded
Context window128,000
ProviderDeepSeek
Last verifiedNo model-specific verification date recorded
Snapshot updated2026-10-31

Last updated: · Source: DeepSeek pricing · Methodology

Frequently asked questions

What does DeepSeek Coder V4 cost per million tokens?

Input costs $0.28 and output costs $1.12 per million tokens. The 1,000-input/500-output example costs $0.00084, before discounts, taxes, hidden reasoning tokens or context-tier surcharges.

Does DeepSeek Coder V4 have cached or batch pricing?

Cached input: $0.028 per million tokens under the existing provider cache rules. Batch: not recorded in this dataset. Eligibility and cache-write charges depend on the provider; these discounts are not automatically stacked.

What is a cheaper alternative to DeepSeek Coder V4?

Ling 2.6 Flash costs $0.01 input and $0.03 output per million tokens. This comparison matches context capacity and reasoning category, not benchmark quality. Test your workload before replacing a model.

How often are these prices verified?

The live pricing table synchronizes stored model records daily; public file snapshots update when the site is rebuilt. Synchronization is not independent provider verification. Snapshot updated 2026-10-31. No model-specific verification date is recorded; the snapshot date must not be interpreted as an official provider verification.