
DeepSeek V4 vs GPT-5.4 vs Claude Opus 4.6: What Is Verified Today (March 2026)

TL;DR
- GPT-5.4 is the clearest production option if you need an officially documented
1,050,000context window,128,000max output tokens, and OpenAI platform tooling today. - Claude Opus 4.6 is also officially available, with pricing published by Anthropic and a
1M token context windowavailable in the Claude Developer Platform beta. - DeepSeek V4 may be important, but as of March 6, 2026 we could not verify an official public V4 model page or public V4 API pricing page from DeepSeek.
- If cost matters today and you want an officially priced DeepSeek baseline, DeepSeek-V3.2 is the model DeepSeek currently documents in its pricing page.
What Is Officially Verified Today
The table below keeps a strict rule: only officially documented information goes in the main comparison table.
| Topic | GPT-5.4 | Claude Opus 4.6 | DeepSeek V4 |
|---|---|---|---|
| Provider | OpenAI | Anthropic | DeepSeek |
| Official public status | Documented on official model and pricing pages | Documented on official product page | No official public V4 pricing or API listing verified |
| Official input pricing | $2.50 per 1M input tokens | From $5 per 1M input tokens | Not publicly documented |
| Official output pricing | $15.00 per 1M output tokens | From $25 per 1M output tokens | Not publicly documented |
| Cached input pricing | $0.25 per 1M cached input tokens | Cache pricing depends on prompt caching tiers | Not publicly documented |
| Context information | 1,050,000 context window | 1M token context window in Claude Developer Platform beta | Not publicly documented |
| Max output tokens | 128,000 | Not clearly stated on the product page we verified | Not publicly documented |
| Practical status for buyers | Available now | Available now | Watchlist item, not verified as a public API product |
Pricing Reality Check
For teams making a budget decision right now, the most useful comparison is not rumored V4 pricing. It is the pricing that vendors actually publish.
| Model | Officially documented pricing status | Input price | Output price | Notes |
|---|---|---|---|---|
| GPT-5.4 | Official OpenAI pricing page | $2.50 | $15.00 | Cached input pricing is also published |
| Claude Opus 4.6 | Official Anthropic product page | From $5.00 | From $25.00 | Anthropic describes multiple pricing entry points and beta context options |
| DeepSeek-V3.2 | Official DeepSeek pricing page | $0.28 cache miss / $0.028 cache hit | $0.42 | This is the currently documented DeepSeek baseline |
| DeepSeek V4 | No public official pricing verified | Unknown | Unknown | Do not model budgets using leaked numbers |
The operational takeaway is simple:
- Use GPT-5.4 or Claude Opus 4.6 if you need a documented frontier model now.
- Use DeepSeek-V3.2 if you need a lower-cost DeepSeek option with official published pricing.
- Do not commit product budgets to DeepSeek V4 until DeepSeek publishes official pricing and model documentation.
What Remains Unverified For DeepSeek V4
This second table is where rumor-level information belongs. It should not be mixed into the main comparison table.
| Claim category | Public claim seen in drafts or community posts | Verified from official DeepSeek pages? | Publish rule |
|---|---|---|---|
| Pricing | ~$0.14 / $0.28 per 1M | No | Remove from factual comparison |
| Context window | 1M context | No official V4 page verified | Move to unverified section only |
| License | MIT or Apache 2.0 open-weight | No | Do not state as fact |
| Benchmarks | 80%+ SWE-bench Verified | No | Do not place in main table |
| Modalities | text + image + video + audio | No | Do not state as confirmed capability |
| Model scale | ~1T params, ~32B active | No | Do not state as confirmed specification |
| Deployment details | Huawei Ascend or Cambricon optimization | No | Treat as unverified reporting only |
How Developers Should Interpret The Market Right Now
A clean comparison in March 2026 looks like this:
- GPT-5.4 is the strongest option if you want a clearly documented long-context model and direct OpenAI platform support.
- Claude Opus 4.6 is a strong choice if you want Anthropic's current flagship tier with officially published pricing and a 1M-context beta path.
- DeepSeek V4 is still a monitoring target rather than a production dependency.
For product teams, this usually leads to a practical two-track plan:
- Ship now on a model with official pricing and docs.
- Keep your routing layer flexible enough to test V4 later.
If your app already uses an OpenAI-compatible abstraction layer, that migration path stays relatively cheap. If your app hard-codes provider-specific assumptions, waiting for V4 gives you risk without saving engineering effort.
Recommended Decision By Use Case

| Use case | Best current choice | Why |
|---|---|---|
| Need a documented long-context production model now | GPT-5.4 | OpenAI publishes context window, max output, and pricing directly |
| Need an officially available Anthropic flagship | Claude Opus 4.6 | Anthropic publishes current product and pricing details |
| Need a lower-cost officially documented DeepSeek option | DeepSeek-V3.2 | DeepSeek publishes public pricing for V3.2 today |
| Want to evaluate V4 when it becomes real | Keep V4 on a watchlist | Wait for official model page, pricing, and API docs first |
FAQ
1. Is DeepSeek V4 officially released?
2. Can I compare DeepSeek V4 pricing with GPT-5.4 today?
Not responsibly. GPT-5.4 has official OpenAI pricing, but V4 pricing claims circulating in drafts and community posts are not backed by a public DeepSeek pricing page we could verify.
3. Does GPT-5.4 really support a 1,050,000-token context window?
4. Does Claude Opus 4.6 support 1M context?
5. What is the cheapest officially documented option in this comparison set?
6. Should I wait for DeepSeek V4 before shipping?
Usually no. If you need to ship in the near term, build on a model with official docs and pricing now, then keep your provider layer flexible enough to benchmark V4 once it becomes officially available.
7. Why does this article avoid leaked benchmarks?
Because leaked or community-reported benchmark values are not stable enough for the main comparison table. If a number cannot be verified from official vendor materials, it should not drive production recommendations.
8. What is the safest integration strategy if I want to test V4 later?
Use a model-agnostic routing layer, keep prompts and evaluations versioned, and avoid hard-coding assumptions about one provider's tool schema or rate limits. That way, V4 becomes an evaluation target later instead of a blocking dependency now.
Sources
- OpenAI API pricing
- OpenAI GPT-5.4 model documentation
- Anthropic Claude Opus 4.6
- DeepSeek API pricing
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