Models

GPT-5.4 Mini

TL;DR

Premium

Fast, cost-effective everyday OpenAI coding and lookups.

Available on

ProMaxUltraTeamsEnterprise

Not on the Go plan ($1/mo, open-source models only).

Switch with

/model

Pick GPT-5.4 Mini from the selector.

Intelligence Index

GPT-5.4 Mini vs the OpenAI lineup

49

GPT-5.4

57

GPT-5.3 Codex

54

GPT-5.4 Mini

49

Speed

~164

tokens / sec

Input

$0.75

per M tokens

Output

$4.50

per M tokens

GPT-5.4 Mini in Command Code

GPT-5.4 Mini is the fast, cost-effective OpenAI model in Command Code — among the fastest models on the platform at ~164 tokens per second. The right pick when latency dominates and the task does not need top-end reasoning.

Mini vs the Command Code lineup

Quality, speed, and pricing for Mini alongside the fastest peers.

ModelIntelligenceSpeedInput $/MOutput $/M
GPT-5.4 Mini49~164 tok/s$0.75$4.50
Claude Haiku 4.537~97 tok/s$1.00$5.00
DeepSeek V4 Flash47~82 tok/s$0.14$0.28
GPT-5.3 Codex54~72 tok/s$2.00$8.00
GPT-5.457~84 tok/s$2.50$15.00
Claude Sonnet 4.652~62 tok/s$3.00$15.00

What Mini is best for

Everyday coding, quick lookups, autocompletes, mechanical edits, and high-volume work where price-per-task matters.

When to switch away from Mini

Switch to GPT-5.4

For the hardest reasoning work. Higher Intelligence (57 vs 49) at higher cost.

Switch to GPT-5.3 Codex

For long coding sessions where Codex output economics ($8/M) win.

Switch to Claude Haiku 4.5

For the Claude family on fast lookups. Slightly slower but Anthropic prompt caching is automatic.

Switch to DeepSeek V4 Flash

For open-source economics on high-volume reasoning ($0.14/M input vs $0.75).

In Command Code: caching and taste-1

Two things change the experience of using this model inside Command Code versus calling it directly through the upstream API.

First, prompt caching is on by default. In an agent loop the same context is read across many steps; cache reads are billed at $0.075 per million tokens versus $0.75 for fresh input.

Second, taste-1 sits between the model and the agent loop, rewriting and reranking candidate edits to match your codebase conventions. Each plan ships with a taste-1 usage allowance that scales by tier (Go $100 → Ultra $10,000).

Plan availability

Premium model. Available on Pro ($15/mo), Max ($100/mo), Ultra ($200/mo), Teams ($40/mo per seat), and Enterprise. Not on the Go plan.

All Command Code models, ranked by quality and speed

Quality is the Intelligence Index — an aggregate score across reasoning, math, coding, and knowledge evaluations. Speed is reported output tokens per second. Models without a published score are noted.

ModelTierIntelligence IndexOutput speed
GPT-5.5Premium60~65 tok/s
Claude Opus 4.7Premium57~49 tok/s
GPT-5.4Premium57~84 tok/s
GPT-5.3 CodexPremium54~72 tok/s
Kimi K2.6Open-source54~40 tok/s
Claude Sonnet 4.6Premium52~62 tok/s
DeepSeek V4 ProOpen-source52~35 tok/s
GLM-5Open-source50~61 tok/s
GPT-5.4 MiniPremium49~164 tok/s
DeepSeek V4 FlashOpen-source47~82 tok/s
Claude Haiku 4.5Premium37~97 tok/s
Kimi K2.5Open-source37~35 tok/s
Claude Opus 4.6PremiumNot yet scored
MiniMax M2.5Open-sourceNot yet scored

Switching models with /model

In an interactive Command Code session, run /model to open the model selector. Pick the model you want and it applies to this session and to future sessions until you change it again. Premium models require Pro or higher; open-source models are available on every plan, including Go.

cmd               # start an interactive session
/model            # open the selector and pick a model

Plans and pricing

Command Code is a subscription with model usage at API rates. Each plan ships with monthly LLM credits and a separate taste-1 usage allowance that scales by tier. Credits roll over and never expire. Auto top-up keeps you running if you go over.

PlanPrice/moLLM creditstaste-1 usageModels
Go$1$10$100Open-source only
Pro$15$30$500Open-source + premium
Max$100$150$5,000Open-source + premium
Ultra$200$300$10,000Open-source + premium
Teams$40 / seatPooled$1,000Open-source + premium
EnterpriseCustomCustomCustomCustom pool, SSO, audit logs

Frequently asked questions

GPT-5.4 Mini or Claude Haiku 4.5?

Mini scores higher (49 vs 37) and runs faster (~164 vs ~97 tok/s) at a slightly lower input price. Pick whichever family you prefer.

Is Mini good enough for production?

For narrow, well-scoped tasks, yes. Switch to GPT-5.4 or Claude Sonnet/Opus when the task needs deeper reasoning.

Which Command Code model should I use?

Claude Sonnet 4.6 is the recommended default. Switch to GPT-5.5 (Intelligence Index 60) for the absolute hardest reasoning, or Claude Opus 4.7 / GPT-5.4 (both 57) for top-tier work at lower cost. For fast lookups, Claude Haiku 4.5 or GPT-5.4 Mini. For open-source, Kimi K2.6 leads the open-weights tier (Intelligence Index 54).

Can I mix GPT-5.4 Mini with other models in a workflow?

Yes. Switch per session using /model. Common pattern: keep Sonnet 4.6 as the default and switch up to Opus 4.7 or down to Haiku 4.5 as the task calls for it.

Are open-source model prices fixed?

Open-source models are routed across multiple upstream providers for high availability. The price listed for each is the mean per-provider rate. Actual cost on a given request may vary slightly. The Usage page reflects the price charged.

Is Command Code free to try?

The Go plan starts at $1/mo with $10 in LLM credits and $100 of taste-1 usage. It covers open-source models only. Pro at $15/mo unlocks premium models with $30 in LLM credits and $500 of taste-1 usage.

Does Command Code train on my code?

No. Command Code does not train on your code or store your code snippets. taste-1 data is stored locally in your project directory.

Where can I track my usage?

The Usage page in Studio shows per-request cost, token counts, and which model ran. Settings > Billing lets you change plans, buy credits, or enable auto top-up.

Does Command Code replace my editor?

No. Command Code is editor-agnostic — it runs as a CLI and works alongside any editor (Cursor, VS Code, Zed, JetBrains, Neovim, etc.).

Ship code that matches your taste

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