Models

GPT-5 Codex (batch)

openai ↗ · 400K ctx · 4 providers · updated 2026-08-06 16:15 UTC

Cheapest
$1.72 via OpenRouter
Avg price
$3.01 /1M
providers
4
(3 × $0.625 + $5.00) ÷ 4 = $1.72/1M — the $/1M figure blends input and output at 3:1 — that is the only way models with two different rates can be ranked on one axis. Your actual rate depends on your own input:output mix — input only $0.625, 3:1 $1.72, 1:1 $2.81, output only $5.00 per 1M.

The board shows this model's cheapest measured offer ($1.72/1M); the smaller figure under it is the mean of the 4 offers listed below ($3.01/1M). Add those up and divide — it matches.

ProviderRouter / Source$ in /1M$ out /1MTTFTTPSUptimeEvidence
openrouter-best OpenRouter $0.625$5.00 API-measured
openrouter Pricebook (LiteLLM) $1.25$10.00 Official list
requesty Requesty $1.25$10.00 API-measured
burncloud burncloud $1.25$10.00 API-measured

Price trend

Cheapest blended price, last 31 days (USD/1M): $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $3.4375 → $1.7188

Data & method

Cheapest ranked by blended = (3×in + out) ÷ 4; performance columns show only when a source provides them, never estimated. “Official list” = LiteLLM open pricebook (MIT); “API-measured” = provider/aggregator public APIs. Machine-readable data: /api/v1/models/gpt-5-codex.json. Free reuse requires attribution to tkx.org.

FAQ

How much does GPT-5 Codex (batch) cost?

Cheapest measured offer right now: $0.625/1M input, $5/1M output via openrouter-best — across 4 tracked providers, refreshed hourly.

Who serves GPT-5 Codex (batch)?

4 providers currently serve it. The table above lists each with input/output price, TTFT, TPS, uptime and an evidence tier.

Is the price of GPT-5 Codex (batch) going up or down?

The daily candles above track the cheapest blended price ($/1M, 3:1 in:out). TKX snapshots every hour, so drops and hikes show up the same day they happen.

Related analysis

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