Updated 2026-05-24

DeepSeek V4 API pricing comparison: Pro, Flash, GPT 5.4, Claude, Gemini, Qwen, and more

DeepSeek V4 should be the first model considered when token cost is a serious constraint because the current pricing makes the comparison decisive: one flagship family, 1M context, Pro at $0.435/$0.87 per 1M input/output tokens with those rates becoming the official quarter-price baseline after the 75% discount window ends on May 31, 2026, and a Flash route at $0.14/$0.28 per 1M input/output. Premium models may still be worth routing to selectively, but they should not automatically become the default.

Practical verdict

Use DeepSeek V4 as the cost baseline and compare Pro or Flash against the actual workload rather than a vague DeepSeek label. Add paid fallbacks only when measured quality improvements justify the higher cost for a specific request class.

Model snapshot

ModelProviderStrengthsContextCost signal
DeepSeek V4DeepSeekCoding, Long Context, Cost-Efficiency1M$0.32 / 1M avg tokens
GPT 5.4OpenAIReasoning, Tool Calling, Multimodal1M$8.75 / 1M avg tokens
Claude Sonnet 4.7AnthropicCoding, Agentic, Long Context1M$9.00 / 1M avg tokens
Gemini 3.1 ProGoogleReasoning, Multimodal, Long Context2M$7.00 / 1M avg tokens
Qwen 3.5AlibabaMultilingual, Reasoning, Open Source, Cost-Efficiency1M$1.14 / 1M avg tokens
MiniMax M2.7MiniMaxAgentic, Coding, Long Context, Cost-Efficiency205K$0.75 / 1M avg tokens
GLM 5Zhipu AICoding, Agentic, Multilingual, Cost-Efficiency200K$0.90 / 1M avg tokens

Cost signals are comparison data used by this site. Verify live provider pricing before production purchasing decisions.

Use-case routing table

Use caseDeepSeek fitAlternative fitDecision note
Default chat and coding APIBest cost baselinePremium fallbackStart with DeepSeek before paying premium-provider prices on every request.
Long-context researchStrong on 1M contextGemini/Claude strongLarge multimodal inputs can still justify specialized models.
Multilingual productionStrongQwen/GLM strongCost and native-language quality both matter in real deployments.
Interactive experience productGoodMiniMax/Grok strongExperience quality can justify a different default.

How to read pricing comparisons in the V4 era

Token price is only the starting point. Compare total cost per successful task, including input tokens, output tokens, failed calls, retries, and human correction. DeepSeek V4 Pro is currently listed at $0.435 per 1M cache-miss input tokens and $0.87 per 1M output tokens, and DeepSeek says those rates become the official quarter-price baseline after the 75% discount window ends on May 31, 2026. The right comparison is often V4-Flash versus premium defaults, or V4-Pro versus premium review routes, not simply DeepSeek versus everyone else.

Why DeepSeek V4 is the baseline

A DeepSeek-first pricing page gives buyers a concrete anchor: what quality can they get from an official 1M-context flagship before paying premium model prices? That anchor is what turns comparison traffic into pricing-page intent.

Why Flash deserves separate attention

DeepSeek V4 Flash should not be treated as a weak budget footnote. Its quality is excellent for everyday coding, chat, retrieval, and repeated tool steps, while keeping the same 1M-context story. Flash is priced at $0.14/$0.28 per 1M input/output tokens with cache-hit input at $0.0028 per 1M, which makes it the first route to test for high-volume workloads.

Where the pricing page fits

The pricing page should only show plans backed by inventory. This comparison page can mention many models, but it should route purchase intent to the actual in-stock DeepSeek-led Coding Plans.

FAQ

Is DeepSeek V4 the cheapest AI API?

DeepSeek V4 is one of the most cost-efficient options for many developer workflows. Pro is currently listed at $0.435/$0.87 per 1M input/output tokens, with those rates becoming the official quarter-price baseline after the 75% discount window ends on May 31, 2026, and Flash is especially aggressive at $0.14/$0.28 per 1M input/output with cache-hit input at $0.0028. Live pricing should still be verified because DeepSeek reserves the right to adjust product prices.

Is DeepSeek V4 Flash good enough for production?

Yes for many high-volume routes. Flash is excellent for routine coding, chat, retrieval, and tool calls; keep Pro for harder reasoning and review-heavy turns.

What should I compare besides token price?

Compare latency, retries, correctness, context fit, and cost per accepted output.

Why are some compared models not on the pricing page?

Comparison coverage is independent from inventory. Only in-stock Coding Plan products are purchasable.