GPT-5-Codex
openai/gpt-5-codexVon OpenAI · Familie: gpt-codex · veröffentlicht 2025-09-15 · Wissensstand: 2024-09-30
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Fähigkeiten
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.
Coding72
- Tool calling40/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)12/20
- Provider availability10/10
Agents75
- Tool calling35/35
- Structured output0/25
- Reasoning15/15
- Output token limit15/15
- Provider availability10/10
JSON / structured output21
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control0/10
- Price-friendly for high-volume1/20
Cost efficiency43
- Headline price (log-scaled)38/95
- Has prompt-cache pricing5/5
Long context70
- Context window (100K → 2M)60/90
- Has published price for full window10/10
Vision94
- Accepts image input50/50
- Context window (10K → 1M)24/30
- Has published price10/10
- Provider availability10/10
Production-readiness94
- Number of independent providers40/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers4/10
- 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 | $9.60 < $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 | $19.20 < $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 | $6.39 < $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 | $17.06 $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 | $17.94 $0.02 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Preis-Details
Empfohlene Preise von opencode · gpt-5-codex
Bei 12 Anbietern verfügbar
| Anbieter | Anbieter-Modell-ID | Eingabe / 1M | Ausgabe / 1M | Kontext | Veröffentlicht |
|---|---|---|---|---|---|
| Azure Cognitive Services azure-cognitive-services | gpt-5-codex | $1.25 | $10.00 | 400K | 2025-09-15 |
| Azure azure | gpt-5-codex | $1.25 | $10.00 | 400K | 2025-09-15 |
| Vercel AI Gateway vercel | openai/gpt-5-codex | $1.25 | $10.00 | 400K | 2025-09-15 |
| OrcaRouter orcarouter | openai/gpt-5-codex | $1.25 | $10.00 | 400K | 2025-09-15 |
| NanoGPT nano-gpt | openai/gpt-5-codex | $1.25 | $10.00 | 256K | 2025-09-15 |
| Impossibl impossibl | openai/gpt-5-codex | $1.25 | $10.00 | 400K | 2025-09-15 |
| Jiekou.AI jiekou | gpt-5-codex | $1.13 | $9.00 | 400K | 2026-01 |
| ZenMux zenmux | openai/gpt-5-codex | $1.25 | $10.00 | 400K | 2025-09-23 |
| Helicone helicone | gpt-5-codex | $1.25 | $10.00 | 400K | 2025-01-01 |
| OpenCode Zen opencode | gpt-5-codex | $1.07 | $8.50 | 400K | 2025-09-15 |
| Poe poe | openai/gpt-5-codex | $1.10 | $9.00 | 400K | 2025-09-23 |
| Abacus abacus | gpt-5-codex | $1.25 | $10.00 | 400K | 2025-09-15 |
Datenunterschiede zwischen Anbietern
- context_window varies: 256000, 400000
- release_date varies (span 365d): 2025-01-01, 2025-09-15, 2025-09-23, 2026-01
- modalities varies across offerings
Anbieter melden unterschiedliche Werte für dieses Modell. Die Schnellinfos oben nutzen den repräsentativen Anbieter; pro Anbieter siehe Tabelle.
Frequently asked questions
How much does GPT-5-Codex cost?
GPT-5-Codex costs $1.07 per 1M input tokens and $8.50 per 1M output tokens, sourced from opencode. 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-Codex?
GPT-5-Codex has a context window of 400K tokens, with a max output of 128K tokens per reply. This is the total combined size of prompt + completion.
Does GPT-5-Codex support tool calling?
Yes. GPT-5-Codex supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does GPT-5-Codex support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for GPT-5-Codex in our data source. Verify with OpenAI's official documentation before relying on it in production.
Can GPT-5-Codex accept image input?
Yes. GPT-5-Codex 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-Codex open-weight?
No. GPT-5-Codex 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-Codex?
If GPT-5-Codex doesn't fit, consider gpt-oss-120b, GPT-5.5, GPT-5.4. 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 are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More OpenAI models
- gpt-oss-120b$0.03 in / $0.17 out
- GPT-5.5$5.00 in / $30.00 out
- GPT-5.4$2.50 in / $15.00 out
- GPT-5.2$1.75 in / $14.00 out
- GPT-5.4 mini$0.75 in / $4.50 out
Capability lists this model is in
Zuletzt aktualisiert:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.