Qwen 3.7 Max
TL;DR
Open-sourceFrontier open-source coding and long-horizon agent execution with a 1M context.
Available on
Open-source models are available on every plan, including Go ($1/mo).
Switch with
Pick Qwen 3.7 Max from the selector.
Intelligence Index
Qwen 3.7 Max vs the Alibaba lineup
Qwen 3.7 Max
Qwen 3.6 Max Preview
Qwen 3.6 Plus
Qwen 3.7 Plus
Speed
~196
tokens / sec
Input
$1.25
per M tokens
Output
$3.75
per M tokens
Qwen 3.7 Max in Command Code
Qwen 3.7 Max is Alibaba's open-source model — frontier coding & long-horizon agent execution. It runs in Command Code with a 1M-token context window, switchable any time with /model.
It scores 46 on the Intelligence Index — #15 of the 38 scored models in the Command Code lineup.
Qwen 3.7 Max specs at a glance
What Qwen 3.7 Max accepts, how much it can hold in context, and what you need to run it.
| Spec | Qwen 3.7 Max |
|---|---|
| Context window | 1M tokens |
| Input modalities | text |
| Reasoning | Yes |
| Release date | 2026-05-19 |
| Minimum plan | Go |
Qwen 3.7 Max vs the Command Code lineup
Qwen 3.7 Max alongside its nearest real alternatives in the lineup — every price straight from the billing tables.
| Model | Intelligence | Coding | Speed | Input $/M | Output $/M | Blended $/M | Context |
|---|---|---|---|---|---|---|---|
| Claude Fable 5 | 59.9 | 76.5 | ~62 tok/s | $10.00 | $50.00 | $20 | 1M |
| Claude Sonnet 4.6 | 47.2 | 63 | ~55 tok/s | $3.00 | $15.00 | $6 | 1M |
| Qwen 3.7 Max (this page) | 46 | 66 | ~196 tok/s | $1.25 | $3.75 | $1.875 | 1M |
| MiniMax M3 | 44.4 | 58.6 | ~113 tok/s | $0.225 | $0.90 | $0.3938 | 1M |
| DeepSeek V4 Pro | 44.3 | 59.4 | ~62 tok/s | $0.435 | $0.87 | $0.5438 | 1M |
| GPT-5.3 Codex | 44.3 | — | ~106 tok/s | $2.00 | $8.00 | $3.50 | 400K |
| Tencent Hy3 | 41.2 | 58.8 | ~58 tok/s | $0.00 | $0.00 | free | 262K |
What Qwen 3.7 Max is best for
Qwen 3.7 Max earns its slot in the lineup for everyday coding sessions, long-context work across big codebases.
- Everyday coding sessions — pick Qwen 3.7 Max from /model and it applies to the session.
- Long-context work across big codebases — pick Qwen 3.7 Max from /model and it applies to the session.
When to switch away from Qwen 3.7 Max
No single model wins every task. These are Qwen 3.7 Max's computed nearest alternatives — one step up, one step down in cost, one for speed, one from the same family — each switchable mid-session with /model.
Switch to Claude Sonnet 4.6
Claude Sonnet 4.6 scores 47.2 on the Intelligence Index to Qwen 3.7 Max's 46 — the nearest genuine step up — at $6 blended per million tokens versus $1.875. Reach for it when a task keeps hitting Qwen 3.7 Max's ceiling.
Switch to MiniMax M3
MiniMax M3 runs about 79% cheaper blended ($0.3938 versus $1.875 per million tokens) while scoring 44.4 on the Intelligence Index. Switch down for high-volume work where Qwen 3.7 Max's edge isn't earning its rate.
Switch to GLM-5.2
GLM-5.2 streams ~208 tokens/sec to Qwen 3.7 Max's ~196 at a comparable blended cost ($2.15 per million tokens). Use it when iteration speed matters more than squeezing out the last point of quality.
Switch to Qwen 3.6 Max Preview
Qwen 3.6 Max Preview is the nearest Alibaba sibling — same house style, different price point ($2.925 versus $1.875 blended per million tokens). The natural swap when you want to stay in the family.
What you pay for Qwen 3.7 Max
Qwen 3.7 Max is billed per token at the rates below — the same billing tables the Usage page charges against, so this page cannot quote a different price than you pay.
Blended cost (3:1 input:output, the shape of a typical coding session) works out to $1.875 per million tokens.
| Per 1M tokens | Input | Output | Cache read |
|---|---|---|---|
| All requests | $1.25 | $3.75 | $0.25 |
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 $0.25 per million tokens versus $1.25 for fresh input.
taste-1 sits between the model and the agent loop, rewriting and reranking candidate edits to match your codebase conventions.
Plan availability
Qwen 3.7 Max is an open-source model, available on every plan including Go.
Command Code is a subscription with model usage at API rates. Each plan ships with monthly LLM credits; credits roll over and never expire, and auto top-up keeps you running if you go over.
| Plan | Price/mo | LLM credits | Models |
|---|---|---|---|
| Go | $1 | $10 | Open-source only |
| Pro | $15 | $30 | Open-source + premium |
| Provider | $15 | Pay as you go | Open-source + premium |
| Max 10× | $100 | $150 | Open-source + premium |
| Max 20× | $200 | $300 | Open-source + premium |
| Teams Pro | $40 / seat | $40 / seat | Open-source + premium |
| Enterprise | Custom | Custom | Custom pool, SSO, audit logs |
Switching models with /model
In an interactive Command Code session, run /model to open the model selector. Pick Qwen 3.7 Max 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 Qwen 3.7 MaxAll 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 measured output tokens per second. Models without a published score are noted. This table is regenerated from the model registry, so it is always current.
| Model | Tier | Intelligence Index | Output speed |
|---|---|---|---|
| Claude Fable 5 | Premium | 59.9 | ~62 tok/s |
| GPT-5.6 Sol | Premium | 58.9 | ~77 tok/s |
| Claude Opus 4.8 | Premium | 55.7 | ~55 tok/s |
| GPT-5.6 Terra | Premium | 55 | ~155 tok/s |
| GPT-5.5 | Premium | 54.8 | ~81 tok/s |
| Grok 4.5 | Open-source | 53.8 | ~114 tok/s |
| Claude Opus 4.7 | Premium | 53.5 | ~52 tok/s |
| Claude Sonnet 5 | Premium | 53.4 | ~79 tok/s |
| GPT-5.4 | Premium | 51.4 | ~164 tok/s |
| GPT-5.6 Luna | Premium | 51.2 | ~234 tok/s |
| GLM-5.2 | Open-source | 51.1 | ~208 tok/s |
| Muse Spark 1.1 | Premium | 50.6 | ~130 tok/s |
| Gemini 3.5 Flash | Premium | 50.2 | ~236 tok/s |
| Claude Sonnet 4.6 | Premium | 47.2 | ~55 tok/s |
| Qwen 3.7 Max (this page) | Open-source | 46 | ~196 tok/s |
| MiniMax M3 | Open-source | 44.4 | ~113 tok/s |
| DeepSeek V4 Pro | Open-source | 44.3 | ~62 tok/s |
| GPT-5.3 Codex | Premium | 44.3 | ~106 tok/s |
| Kimi K2.6 | Open-source | 44.2 | ~43 tok/s |
| MiMo V2.5 Pro | Open-source | 42.2 | ~56 tok/s |
| Kimi K2.7 Code | Open-source | 41.9 | ~46 tok/s |
| Tencent Hy3 | Open-source | 41.2 | ~58 tok/s |
| DeepSeek V4 Flash | Open-source | 40.3 | ~106 tok/s |
| GLM-5.1 | Open-source | 40.2 | ~81 tok/s |
| Qwen 3.6 Max Preview | Open-source | 40 | ~46 tok/s |
| GPT-5.4 Mini | Premium | 40 | ~171 tok/s |
| Qwen 3.6 Plus | Open-source | 39.6 | ~53 tok/s |
| GLM-5 | Open-source | 39.5 | ~51 tok/s |
| Qwen 3.7 Plus | Open-source | 39 | ~52 tok/s |
| Kimi K2.5 | Open-source | 38.1 | ~51 tok/s |
| MiniMax M2.7 | Open-source | 38.1 | ~49 tok/s |
| Nemotron 3 Ultra | Open-source | 37.8 | ~204 tok/s |
| MiMo V2.5 | Open-source | 37.2 | ~88 tok/s |
| MiniMax M2.5 | Open-source | 33.7 | ~78 tok/s |
| Step 3.7 Flash | Open-source | 30.3 | ~407 tok/s |
| Step 3.5 Flash | Open-source | 26 | ~207 tok/s |
| Gemini 3.1 Flash Lite | Premium | 25 | ~300 tok/s |
| Claude Haiku 4.5 | Premium | 23.7 | ~103 tok/s |
| Kimi K3 | Open-source | Not yet scored | — |
| Kimi K2.7 Code HighSpeed | Open-source | Not yet scored | — |
| GLM-5.2 Fast | Open-source | Not yet scored | — |
| Inkling | Open-source | Not yet scored | — |
| Fugu Ultra | Premium | Not yet scored | — |
Frequently asked questions
Qwen 3.7 Max or Claude Sonnet 4.6?
Claude Sonnet 4.6 scores higher on the Intelligence Index (47.2 vs 46) at $6 blended per million tokens against Qwen 3.7 Max's $1.875. Default to Qwen 3.7 Max and switch up when a task keeps stalling.
Qwen 3.7 Max or MiniMax M3?
MiniMax M3 is about 79% cheaper blended ($0.3938 vs $1.875 per million tokens), scoring 44.4 on the Intelligence Index. Use MiniMax M3 for volume work and Qwen 3.7 Max where its edge earns the difference.
How much does Qwen 3.7 Max cost in Command Code?
$1.25 per million input tokens and $3.75 per million output tokens, with cache reads at $0.25. In an agent loop, cached context brings effective input to roughly $0.55 per million tokens.
What plan do I need for Qwen 3.7 Max?
Qwen 3.7 Max is available on every plan, including Go at $1/mo.
How good is Qwen 3.7 Max at coding?
Qwen 3.7 Max scores 66 on the Coding Index — the Artificial Analysis sub-score most predictive of coding-agent performance — alongside 46 overall.
Does Qwen 3.7 Max support image input and reasoning?
Qwen 3.7 Max is text-only; paste code and logs rather than screenshots. It supports reasoning.
Which Command Code model should I use?
Claude Fable 5 currently leads the lineup on the Intelligence Index (59.9). Grok 4.5 (53.8) leads the open-weights tier, available on every plan. For fast lookups, Step 3.7 Flash streams ~407 tok/s. There is no single right answer — switch per session with /model and let the task pick the model.
Can I mix Qwen 3.7 Max with other models in a workflow?
Yes. Switch per session using /model. Common pattern: keep a default model and switch up for hard problems or down for quick lookups 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.
Qwen 3.7 Max or Qwen 3.7 Plus?
Max is the frontier model for the hardest work. Plus is the cost-efficient sibling ($0.40 vs $1.25 input) for everyday agentic coding. Both carry a 1M context.
Why no Intelligence Index for Qwen 3.7 Max?
Public aggregate benchmarks have not yet been published for Qwen 3.7 Max in the current Intelligence Index format. The model is available and routed normally.
Is Command Code free to try?
The Go plan starts at $1/mo with $10 in LLM credits. It covers open-source models only. Pro at $15/mo unlocks premium models with $30 in LLM credits.
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.).
Related reading
- Qwen 3.6 Max Preview in Command Codevibe coding & efficient agent execution
- Qwen 3.6 Plus in Command Codeagentic coding & reasoning
- Qwen 3.7 Plus in Command Codeagentic coding & reasoning at lower cost
- Claude Sonnet 4.6 in Command Codeprev Sonnet, still fast & capable
- Every model, one referenceThe docs list of all Command Code models with ids and context windows.
- Pricing, limits, and dealsThe canonical price table, running deals, and usage estimates.
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