← Retour aux guides

GPT-5.5 vs GPT-5.4: Speed, Costs & API Fixes

GPT-5.5 vs GPT-5.4: what should you actually compare?

Choosing between GPT-5.5 and GPT-5.4 should come down to task quality, response time, and cost per successful result—not the version number alone. This guide does not have verified official specifications or current prices for both models, so it avoids inventing benchmarks, context limits, or dollar rates. Confirm availability, exact model IDs, and billing terms before comparing them.

Also distinguish a model’s identity from its serving environment. Two providers can expose the same model while delivering different latency, rate limits, and prices. A relay’s listing is useful purchasing information, but it is not independent evidence of an official model release or capability.

Which differences matter for real applications?

Build a small evaluation set from your actual workload: 20 coding tasks, support conversations, document questions, or structured-data extractions. Keep prompts, tool definitions, and output constraints identical across both models.

• Accuracy: Score correct answers, passing tests, and unsupported claims.
• Instruction following: Check required fields, JSON validity, and adherence to constraints.
• Tool use: Measure valid arguments, unnecessary calls, and recovery after tool errors.
• Context handling: Test your typical document sizes; do not assume a larger version number means a larger context window.

If one model solves more difficult tasks but costs more, route challenging requests to it and retain the cheaper option for routine work.

FAQ: Is GPT-5.5 faster than GPT-5.4?

There is no defensible universal answer without matched measurements. Speed varies with prompt length, output length, reasoning settings where supported, provider load, and network location. Measure both time to first token, which affects perceived responsiveness, and total completion time, which determines when the result is usable.

Run at least 30 requests per model, alternate their order, and report median and p95 latency. Test concurrency 1 first, then your expected production concurrency. Use identical output limits and supported settings. Compare streaming with streaming, and avoid treating one unusually fast response as a benchmark.

FAQ: How do GPT-5.5 and GPT-5.4 prices compare?

Check the current rate card for each exact model ID. Record input, cached-input, and output prices separately, plus any applicable tool or other usage charges. Do not assume a relay’s price matches the model vendor’s direct price.

Token cost = input tokens × input rate / 1,000,000 + output tokens × output rate / 1,000,000. Split cached input into its own term when discounted caching applies. As a hypothetical example—not a quote for either model—2,000 input tokens at $2 per million and 500 output tokens at $8 per million cost $0.008.

Finally, divide total spend by successful tasks. A lower token price can still produce a higher effective cost if requests need retries or extensive correction.

Troubleshooting: why does the API comparison fail?

• Model not found: Copy the exact ID from the provider’s catalog. Confirm your account has access; do not guess model names.
• 401 or 403: Check the API key, account permissions, and selected provider endpoint. Keep keys server-side.
• 404: Inspect the final request URL. A duplicated or missing API version path can break otherwise valid SDK configuration.
• 429: Reduce concurrency and retry with exponential backoff and jitter, respecting retry headers when supplied.
• Unsupported parameter: Remove optional settings, send a minimal request, then restore only parameters supported by that model.
• Unexpected bills: Inspect usage records, automatic retries, output length, and tool loops before blaming the rate card.

FAQ: Is 59API a good low-cost testing option?

59API offers cheap, pay-as-you-go access to GPT and Claude models, making it attractive for side-by-side testing without a subscription commitment. Its API base URL is https://api.59api.com, with compatibility for OpenAI SDKs, Codex, and Claude Code. Follow its setup instructions for the required endpoint path and available model IDs.

59API states that it supplies native, official-quality models without downgrades and offers a referral rebate. Verify current prices, routing terms, and rebate conditions rather than assuming every model has the same discount. If its catalog includes the models you need, consider signing up for a small evaluation budget before moving production traffic.

Tarifs · Docs