Claude Opus 4.7
TL;DR
PremiumAnthropic's most intelligent model for agents and coding.
Available on
Not on the Go plan ($1/mo, open-source models only).
Switch with
Pick Claude Opus 4.7 from the selector.
Intelligence Index
Opus 4.7 vs the Claude 4 family
Opus 4.7
Sonnet 4.6
Haiku 4.5
Speed
~49
tokens / sec
Input
$5
per M tokens
Output
$25
per M tokens
Claude Opus 4.7 in Command Code
Claude Opus 4.7 is the top of Anthropic's Claude 4 family — the model to reach for when reasoning quality matters most. In Command Code it is the model users switch to from Sonnet for the hardest agentic and coding work, then often switch back once the heavy lifting is done.
Opus 4.7 vs the Command Code lineup
Quality, speed, and pricing for Opus 4.7 alongside the most relevant alternatives.
| Model | Intelligence | Speed | Input $/M | Output $/M |
|---|---|---|---|---|
| Claude Opus 4.7 | 57 | ~49 tok/s | $5.00 | $25.00 |
| GPT-5.4 | 57 | ~84 tok/s | $2.50 | $15.00 |
| Claude Sonnet 4.6 | 52 | ~62 tok/s | $3.00 | $15.00 |
| GPT-5.3 Codex | 54 | ~72 tok/s | $2.00 | $8.00 |
| Kimi K2.6 | 54 | ~40 tok/s | $0.95 | $4.00 |
| DeepSeek V4 Pro | 52 | ~35 tok/s | $1.74 | $3.48 |
| Claude Haiku 4.5 | 37 | ~97 tok/s | $1.00 | $5.00 |
What Opus 4.7 is best for
Reasoning-heavy refactors, ambiguous specs that need pushback, multi-step agent runs, and senior code review on critical changes.
When to switch away from Opus 4.7
Switch to Claude Sonnet 4.6
For everyday work where Sonnet is the better cost-quality trade. Most users keep Sonnet as the default and only switch up to Opus 4.7 when the task calls for it.
Switch to GPT-5.4
For a second opinion on a hard task or if you prefer the OpenAI side. Both score 57; GPT-5.4 runs faster (~84 vs ~49 tok/s) and is cheaper on input ($2.50 vs $5).
Switch to Kimi K2.6
For open-source economics on hard reasoning. K2.6 scores 54 — the top open-weights model — at $0.95 input vs $5 for Opus.
Switch to Claude Haiku 4.5
For quick lookups, small edits, or high-volume mechanical work. Haiku runs ~97 tok/s vs Opus at ~49.
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 $0.50 per million tokens versus $5.00 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.
| Model | Tier | Intelligence Index | Output speed |
|---|---|---|---|
| GPT-5.5 | Premium | 60 | ~65 tok/s |
| Claude Opus 4.7 | Premium | 57 | ~49 tok/s |
| GPT-5.4 | Premium | 57 | ~84 tok/s |
| GPT-5.3 Codex | Premium | 54 | ~72 tok/s |
| Kimi K2.6 | Open-source | 54 | ~40 tok/s |
| Claude Sonnet 4.6 | Premium | 52 | ~62 tok/s |
| DeepSeek V4 Pro | Open-source | 52 | ~35 tok/s |
| GLM-5 | Open-source | 50 | ~61 tok/s |
| GPT-5.4 Mini | Premium | 49 | ~164 tok/s |
| DeepSeek V4 Flash | Open-source | 47 | ~82 tok/s |
| Claude Haiku 4.5 | Premium | 37 | ~97 tok/s |
| Kimi K2.5 | Open-source | 37 | ~35 tok/s |
| Claude Opus 4.6 | Premium | Not yet scored | — |
| MiniMax M2.5 | Open-source | Not 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 modelPlans 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.
| Plan | Price/mo | LLM credits | taste-1 usage | Models |
|---|---|---|---|---|
| Go | $1 | $10 | $100 | Open-source only |
| Pro | $15 | $30 | $500 | Open-source + premium |
| Max | $100 | $150 | $5,000 | Open-source + premium |
| Ultra | $200 | $300 | $10,000 | Open-source + premium |
| Teams | $40 / seat | Pooled | $1,000 | Open-source + premium |
| Enterprise | Custom | Custom | Custom | Custom pool, SSO, audit logs |
Frequently asked questions
When should I switch from Sonnet 4.6 to Opus 4.7?
When the task is reasoning-heavy, ambiguous, or spans many files. Switch with /model and switch back once the hard part is done.
Is Opus 4.7 worth the price premium?
On hard, multi-step work where mistakes are expensive, yes. On commodity edits, Sonnet 4.6 is the better cost-quality trade.
Opus 4.7 or GPT-5.4?
Both score 57 and are first-class. GPT-5.4 is faster and cheaper on input; Opus has stronger prompt caching. Switch with /model based on the task.
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 Claude Opus 4.7 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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