GPT-5 Chat
openai/gpt-5-chatBy OpenAI · family: gpt-codex · released 2025-08-07 · knowledge: 2024-09-30
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Capabilities
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding19
- Tool calling0/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)2/20
- Provider availability7/10
Agents32
- Tool calling0/35
- Structured output0/25
- Reasoning15/15
- Output token limit10/15
- Provider availability7/10
JSON / structured output0
- Structured output / JSON mode0/50
- Tool calling0/20
- Temperature control0/10
- Price-friendly for high-volume0/20
Cost efficiency42
- Headline price (log-scaled)37/95
- Has prompt-cache pricing5/5
Long context45
- Context window (100K → 2M)35/90
- Has published price for full window10/10
Vision84
- Accepts image input50/50
- Context window (10K → 1M)17/30
- Has published price10/10
- Provider availability7/10
Production-readiness91
- Number of independent providers35/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers6/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $10.00 $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $20.00 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $6.70 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $17.80 $0.02 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $18.60 $0.02 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Pricing detail
Recommended pricing from poe · openai/gpt-5-chat
Available on 7 providers
| Provider | Provider model id | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|---|
| Azure Cognitive Services azure-cognitive-services | gpt-5-chat | $1.25 | $10.00 | 128K | 2025-08-07 |
| Azure azure | gpt-5-chat | $1.25 | $10.00 | 128K | 2025-08-07 |
| OpenRouter openrouter | openai/gpt-5-chat | $1.25 | $10.00 | 400K | 2025-08-07 |
| Vercel AI Gateway vercel | openai/gpt-5-chat | $1.25 | $10.00 | 128K | 2025-08-07 |
| Kilo Gateway kilo | openai/gpt-5-chat | $1.25 | $10.00 | 128K | 2025-08-07 |
| Poe poe | openai/gpt-5-chat | $1.10 | $9.00 | 128K | 2025-08-07 |
| Requesty requesty | openai/gpt-5-chat | $1.25 | $10.00 | 400K | 2025-08-07 |
Data inconsistencies across providers
- context_window varies: 128000, 400000
- modalities varies across offerings
Different providers report different values for this model. Quick facts above use the representative provider; consult the table for per-provider truth.
Frequently asked questions
How much does GPT-5 Chat cost?
GPT-5 Chat costs $1.10 per 1M input tokens and $9.00 per 1M output tokens, sourced from poe. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of GPT-5 Chat?
GPT-5 Chat has a context window of 128K tokens, with a max output of 16K tokens per reply. This is the total combined size of prompt + completion.
Does GPT-5 Chat support tool calling?
No. GPT-5 Chat does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.
Does GPT-5 Chat support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for GPT-5 Chat in our data source. Verify with OpenAI's official documentation before relying on it in production.
Can GPT-5 Chat accept image input?
Yes. GPT-5 Chat accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check OpenAI's docs for the exact rule.
Is GPT-5 Chat open-weight?
No. GPT-5 Chat is a proprietary model — only OpenAI (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to GPT-5 Chat?
If GPT-5 Chat doesn't fit, consider GPT OSS 120B, GPT OSS 20B, GPT-5.2. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
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Capability lists this model is in
Last updated:
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.