Open-weight coding and agentic model · Official-source review 2026-10-09
LongCat 2.0 is Meituan’s large Mixture-of-Experts language model for coding, research and agent workflows. The official repository documents 1.6 trillion total parameters, roughly 48 billion activated per token, sparse attention and deployment guides.
For infrastructure teams assessing a large open-weight model with their own evaluation and deployment resources.
Provider reports training on one-million-context data and internal benchmark results; actual workload performance was not tested. Tool-call arguments use dictionaries in the documented template, unlike standard string arguments. Large model requires specialized deployment resources. Language, accuracy and downstream-use limitations need evaluation. No weights downloaded, model served or inference requested.
Read license and serving guides, estimate infrastructure costs and test a representative workload with explicit tool permissions before deployment.
Provider reports training on one-million-context data and internal benchmark results; actual workload performance was not tested. Tool-call arguments use dictionaries in the documented template, unlike standard string arguments. Large model requires specialized deployment resources. Language, accuracy and downstream-use limitations need evaluation. No weights downloaded, model served or inference requested.
Official product evidence reviewed on 2026-10-09; product artwork inspected visually. No hands-on vendor application test was performed. Application performance, security claims and plan enforcement were not independently tested.
What it can do
Unknown is different from unavailable. Each fact carries its own evidence.
| Capability | Value | Evidence | Checked |
|---|---|---|---|
| Product workflow | LongCat 2.0 is Meituan’s large Mixture-of-Experts language model for coding, research and agent workflows. The official repository documents 1.6 trillion total parameters, roughly 48 billion activated per token, sparse attention and deployment guides. | Facts sourced | 2026-10-09 |
| Pricing and restrictions | Provider reports training on one-million-context data and internal benchmark results; actual workload performance was not tested. Tool-call arguments use dictionaries in the documented template, unlike standard string arguments. Large model requires specialized deployment resources. Language, accuracy and downstream-use limitations need evaluation. No weights downloaded, model served or inference requested. | Facts sourced | 2026-10-09 |
Understand the total cost
Free
Free
Model weights and repository contributions use the MIT License. Compute, hosting and consumer-chat or hosted API rates are separate and unconfirmed.
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Explore toolThe practical questions
No. This listing is based on dated official-source evidence and a visual artwork check. Unconfirmed costs and restrictions are identified explicitly.
LongCat 2.0 is Meituan’s large Mixture-of-Experts language model for coding, research and agent workflows. The official repository documents 1.6 trillion total parameters, roughly 48 billion activated per token, sparse attention and deployment guides.
Model weights and repository contributions use the MIT License. Compute, hosting and consumer-chat or hosted API rates are separate and unconfirmed.. This record lists ongoing free access; check the plan limits before starting.
No paid monthly price is listed; this record treats the product as free to start. See the plan cards for entitlements, billing commitments and seat minimums.
Repository documents tool-call templates and GPU/NPU serving guides; current hosted endpoint access, pricing and quotas unconfirmed.. API access and subscription access may have different terms; consult the linked sources.
Provider reports training on one-million-context data and internal benchmark results; actual workload performance was not tested. Tool-call arguments use dictionaries in the documented template, unlike standard string arguments. Large model requires specialized deployment resources. Language, accuracy and downstream-use limitations need evaluation. No weights downloaded, model served or inference requested.
No retained pricing changes yet. A current price alone does not establish a historical trend.
Current official product source read individually; product artwork inspected visually.
Read original source ↗Official product page reviewed for disclosed costs; unverified prices and allowances are identified in the listing.
Read original source ↗Facts apply to the named version and check date. Send a sourced correction if something changed.