Kimi K2.5
TL;DR
Open-sourceOpen-source multimodal frontend coding with long context.
Available on
Routed across multiple upstream providers; mean per-provider price.
Switch with
Pick Kimi K2.5 from the selector.
Intelligence Index
K2.5 among open-source siblings
Kimi K2.6
DeepSeek V4 Flash
Kimi K2.5
Speed
~35
tokens / sec
Input
$0.60
per M tokens
Output
$3
per M tokens
Kimi K2.5 in Command Code
Kimi K2.5 is the prior-generation Moonshot open-weights model — tuned for multimodal frontend coding with long context. Cheaper than K2.6 and a strong pick when cost dominates over peak reasoning.
K2.5 vs the Command Code lineup
Quality, speed, and pricing for K2.5 alongside open-source peers.
| Model | Intelligence | Speed | Input $/M | Output $/M |
|---|---|---|---|---|
| Kimi K2.5 | 37 | ~35 tok/s | $0.60 | $3.00 |
| Kimi K2.6 | 54 | ~40 tok/s | $0.95 | $4.00 |
| DeepSeek V4 Flash | 47 | ~82 tok/s | $0.14 | $0.28 |
| MiniMax M2.5 | Not yet scored | — | $0.27 | $0.95 |
| GLM-5 | 50 | ~61 tok/s | $1.00 | $3.20 |
| Claude Haiku 4.5 | 37 | ~97 tok/s | $1.00 | $5.00 |
What K2.5 is best for
Multimodal frontend tasks (screenshots, design refs), long-context understanding, and cost-sensitive open-source work on the Go plan.
When to switch away from K2.5
Switch to Kimi K2.6
For long-horizon agent runs and the highest open-weights Intelligence Index (54 vs 37).
Switch to DeepSeek V4 Flash
For faster, cheaper reasoning at scale (Intelligence 47, ~82 tok/s, $0.14 input).
Switch to GLM-5
For long-range planning with stronger reasoning (Intelligence 50).
In Command Code: caching and taste-1
Open-source models are routed across multiple upstream providers for high availability. The price you see is the mean per-provider rate; the Usage page reflects what was actually charged.
Where supported by the upstream, prompt caching is on by default — cache reads are billed at $0.10 per million tokens versus $0.60 for fresh input.
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
Open-source model. Available on every plan, including Go ($1/mo). Routed across multiple upstream providers; listed price is the mean per-provider rate.
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
K2.5 or K2.6?
K2.6 is the top-ranked open-weights model (54 vs 37). K2.5 is cheaper on input ($0.60 vs $0.95). Pick K2.6 for harder reasoning, K2.5 for cost-sensitive multimodal work.
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 Kimi K2.5 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.).
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