Is Claude API cheaper than ChatGPT API?

Flagship pricing is nearly identical; small-tier models (Haiku vs GPT-4o mini) differ by cents. A gateway can lower cost further by billing pay-as-you-go across vendors instead of separate subscriptions.

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 gateway like TokenProvider gets you both APIs through one key with pay-as-you-go billing.

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. How pay-as-you-go pricing helps

A flat subscription charges the same whether you use it fully or not. A metered gateway bills only the tokens you actually send, across vendors, so bursty or part-time usage doesn't pay for idle capacity.

Pay-as-you-go: billed per token with no monthly fee, so you only pay for what you use. Rates are live — register to see current pricing.

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.

One key for Claude + ChatGPT

1-minute signup, $1 minimum top-up, pay-as-you-go, cancel anytime.

Create your account → Already a member

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.

Do I need separate Claude and ChatGPT accounts?

No. One TokenProvider key routes to Claude, ChatGPT, and Gemini, so you skip a separate account, key, and invoice per vendor. For enterprise contracts or an SLA, use the direct vendor API.

How is my data handled?

The gateway logs call metadata (tokens, model, timestamp) to meter billing. See the terms for data-handling details, and avoid sending secrets like API keys or credentials to any LLM.

Production-ready?

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