Is Claude API cheaper than ChatGPT API?

Flagship pricing is nearly identical; small-tier models (Haiku vs GPT-4o mini) differ by cents. The real savings come from using a proxy, which typically cuts 30-70% off official pay-as-you-go.

Which is better for coding?

Claude Sonnet leads on SWE-bench and multi-file code editing. GPT-4o is strong for quick scripts and tool-chain-heavy prototypes.

Can I use both with one key?

Not officially — each vendor needs its own subscription. Proxies like TokenProvider give you one key that routes to Claude, ChatGPT, and Gemini.

Will a proxy slow things down?

Adds tens of milliseconds at most. Upstream model TTFB dominates latency, not the proxy layer.

Claude API vs ChatGPT API (2026)

Pick Claude or ChatGPT? This breakdown covers pricing, speed, context, coding ability, and tool-chain — then shows how a proxy like TokenProvider gets you both APIs through one key at 30–70% off list.

Short answer: Claude Sonnet for coding; GPT-4o for voice, multimodal, and tool-heavy agents. If you don't want to commit to one vendor, use TokenProvider — one key for both, cheaper than direct.

1. Pricing

Flagship list prices at Anthropic and OpenAI are within cents of each other in 2026. The real spread is in the small-model tier and in output tokens: Claude's output tokens are $15/M vs GPT-4o's $10/M. If you emit long answers, ChatGPT is cheaper; if you feed long inputs (large codebases, long docs), Claude's prompt caching wins.

Dimension	Claude (Sonnet 4 / Haiku 3.5)	ChatGPT (GPT-4o / GPT-4o mini)
Input (flagship)	~$3 / M tokens	~$2.5 / M tokens
Output (flagship)	$15 / M tokens	$10 / M tokens
Context window	200K (enterprise to 500K+)	128K
Prompt caching	Native, up to -90%	Limited discount
Coding (SWE-bench)	Industry-leading	Solid
Tool / function calls	Stable	Most mature ecosystem
Streaming speed	Fast	Fast
Multimodal	Text + vision	Text + vision + voice + video

2. Coding: Claude wins clearly

On SWE-bench Verified and AIDER polyglot, Claude Sonnet has held the top tier through 2025–2026. Practically: multi-file refactors, precise edits in long functions, and TDD context retention — Claude drifts less. Claude Code, Anthropic's official coding CLI, only supports Claude models.

GPT-4o is still strong for "single-file throwaway script" work, but the gap widens as project complexity grows.

3. Product-ready chat: ChatGPT has the ecosystem

Building a chatbot, voice assistant, or RAG-enabled answering product? GPT-4o's voice/Realtime API and OpenAI's Assistants API save a lot of engineering time. Claude's Messages API is more minimalist — you get a strong model, you build the scaffolding.

4. Context and RAG

Claude's 200K window + native prompt caching is a killer for long docs / whole codebases / customer-support knowledge bases. Cache an 80K-token system prompt and your input cost drops to ~10% of list. GPT-4o's 128K window is enough for most cases but isn't as cheap.

5. Pricing truth: how much a proxy saves

When you pay Anthropic or OpenAI directly, you're also paying for idle capacity — most teams buy a subscription they don't fully use. A proxy pools many accounts' subscription quotas and sells you the actual request volume, lowering per-token cost.

Real savings: at 10M tokens/month, direct cost is ~$45; TokenProvider is typically 30–70% of list. The more you use, the more you save. Rates are live — register to see current pricing. No monthly fee.

6. Which should you pick?

Pick Claude if…

You ship code and refactor repos
You feed long docs or full projects via RAG
You build agents with Claude Code, Cursor, Cline
You need stable, long, structured outputs

Pick ChatGPT if…

You build chat products or support bots
You need voice / real-time multimodal
You rely on heavy tool/function orchestration
You're deeply invested in OpenAI SDK

Want both?

Use TokenProvider — one key, both vendors
Pay per request, no dual subscriptions
Bonus: Gemini and Claude Code in the same pool

7. Migration: one SDK, swap the model

Once you're on a proxy, you switch models by changing one field:

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_TOKEN_HOME_KEY",
    base_url="https://tokenprovider.store/v1",  # unified proxy endpoint
)

# Call ChatGPT
resp = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Write quicksort"}],
)

# Same code, different model → Claude
resp = client.chat.completions.create(
    model="claude-sonnet-4",
    messages=[{"role": "user", "content": "Write quicksort"}],
)

See the full walkthrough in Claude API Python example.

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FAQ

Which is better at Chinese / non-English?

Flagships of both handle Chinese, Spanish, Japanese well. GPT-4o feels slightly more natural in casual dialogue; Claude stays grounded on long technical content.

What if my official account gets banned?

That's partly why proxies exist — the proxy pool spreads risk across many upstream accounts, so your key is decoupled from any one account getting suspended.

Do proxies see my prompts?

TokenProvider does not train on or store prompt content. We log call metadata (tokens, model, timestamp) for billing. Details in the terms after signup.

Production-ready?

Yes — sticky sessions, automatic upstream failover, real-time billing dashboard. Dedicated account channels available on request.