codex-auto-review

codex-auto-review
by
p50 TTFT2.91 s
INPUT$2.50/ 1M tokens
OUTPUT$15.00/ 1M tokens
p50 TTFT2.91 s7d
p95 TTFT9.56 s7d
TRAFFIC68.5Mtokens / 7d

Code samples

from openai import OpenAI

client = OpenAI(
    base_url="https://api.orcarouter.ai/v1",
    api_key="$ORCAROUTER_API_KEY",
)

response = client.chat.completions.create(
    model="codex-auto-review",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Pricing

TierInput / 1M tokensOutput / 1M tokensCache read / 1M
272K$2.50$15.00$0.250
$5.00$22.50$0.500
Tier selected by input token count of each request

Cost calculator

Tokens / month10MM
Input share70%%
Estimated / month $62.50 · With prompt caching $54.63

Estimate based on list price

Tiered pricing — this estimate uses base-tier rates.

Token & cost estimator

Input tokens: 20Cost per request: $0.007550

Estimate only — actual token counts depend on the provider's tokenizer.

Performance

p50 TTFT
2.91 s
Output speed
26.3 tok/s
p95 TTFT
9.56 s
Error rate
0%

Public benchmarks

Source: Design Arena

FAQ

How much does codex-auto-review cost on OrcaRouter?
codex-auto-review is priced at $2.50 per 1M input tokens and $15.00 per 1M output tokens via OrcaRouter. Pricing is pulled live from the routing layer.
What is codex-auto-review's context window?
codex-auto-review supports a context window of — tokens. Use long-context features (RAG, summarisation) up to that limit.
How do I call codex-auto-review via the OpenAI SDK?
Set OpenAI base_url to https://api.orcarouter.ai/v1, supply your OrcaRouter API key, and pass model="codex-auto-review" in the chat.completions.create call.
Does OrcaRouter rate-limit codex-auto-review?
Per-model rate limits follow your OrcaRouter plan. Free tiers ship with conservative caps; paid tiers lift them. Check /pricing for current quotas.

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codex-auto-review$2.50/M in2908ms p50via OrcaRouter
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