DeepSeek-V4 vs LongCat-2.0: Pricing and Ratings Compared (2026)
Entry prices and free plans as read on each vendor's pricing page, and user ratings as published on review sites, for DeepSeek-V4 and LongCat-2.0 side by side. This page compares data; it is not a hands-on review.
On the data: On the data below, LongCat-2.0 leads on a free plan. We do not name an overall winner for this pair.
Short on time? Here's the quick answer
Based on published vendor pricing and features and on public review data, here's who should pick what:
DeepSeek-V4
The next-generation flagship AI model for repo-level coding and long-context reasoning.
Best for you if:
- • You want a tool that enables advanced repo-scale agent workflows, including refactoring and multi-file debugging
LongCat-2.0
1.6T MoE model for long-horizon agentic coding
Best for you if:
- • You want a free tier before you commit
| At a Glance | DeepSeek-V4 | LongCat-2.0 |
|---|---|---|
Starts at | Not published | Free plan |
Category | AI Coding AI Agents | AI Coding AI Agents |
Rating | n/a | n/a |
Free plan | No | Yes |
Choose DeepSeek-V4 or LongCat-2.0?
Choose DeepSeek-V4 if
- You want a tool that enables advanced repo-scale agent workflows, including refactoring and multi-file debugging
Choose LongCat-2.0 if
- You want a free tier before you commit
In-Depth Analysis
DeepSeek-V4
The next-generation flagship AI model for repo-level coding and long-context reasoning.
The $0.01-$0.14 per 1M tokens range is competitive: the low end is cheaper than most proprietary APIs, while the high end aligns with standard pricing for advanced reasoning features.
Strengths
- Pro: Potential for significant cost reduction in AI development due to competitive pricing and open weights.
- Pro: Enables advanced repo-scale agent workflows, including refactoring and multi-file debugging.
- Pro: Supports local and self-hosted adoption, offering greater control over data and customization.
- Pro: High performance expected in coding, math, and long-prompt scenarios.
Weaknesses
- Con: The product is not yet released, and all specifications are based on rumors and leaks.
- Con: Leaked benchmarks are unverified and may not reflect official performance.
- Con: Release timing is uncertain, with possibilities of delays.
Key features
LongCat-2.0
1.6T MoE model for long-horizon agentic coding
Strengths
- Pro: Open weights under a permissive MIT license, free to download, fine-tune, and self-host
- Pro: Frontier-scale 1.6T Mixture-of-Experts with a 1-million-token context for large codebases and long agent runs
- Pro: Proven real-world usage, having led OpenRouter charts as 'Owl Alpha'
- Pro: Strong focus on autonomous, long-horizon coding and engineering tasks
- Pro: API makes context-cache hits free, lowering cost on repetitive long-context work
Weaknesses
- Con: Running a 1.6T model locally is impractical without serious GPU or accelerator infrastructure
- Con: The hosted API routes data through a China-based provider, a compliance consideration for some teams
- Con: Newer model with a smaller tooling and fine-tune ecosystem than established models
Key features
Plans and prices: DeepSeek-V4 vs LongCat-2.0
| Tool | Plans and prices | Source |
|---|---|---|
| DeepSeek-V4 |
| deepseek-v4.ai read Oct 6, 2026 |
| LongCat-2.0 | No plan prices on file | longcat.ai/pricing |
Prices as read on each vendor's own pricing page on the date shown. Plans are listed per tool and are not matched against the other tool's plans: a plan name or price in one column says nothing about the same row in the other. Details on DeepSeek-V4 pricing and LongCat-2.0 pricing.
Key Takeaways
DeepSeek-V4
- Worth considering for AI coding
LongCat-2.0
- Has a free plan
What the data shows
On the data below, LongCat-2.0 leads on a free plan. We do not name an overall winner for this pair.
- Only LongCat-2.0 has a free plan.
Criteria: user rating (only above 20 reviews on both sides, gap of 0.2 or more), entry price (only on the same billing basis), free plan. How we rate
Frequently Asked Questions
How do DeepSeek-V4 and LongCat-2.0 compare in 2026?
On the data below, LongCat-2.0 leads on a free plan. We do not name an overall winner for this pair. Only LongCat-2.0 has a free plan.
What are DeepSeek-V4 and LongCat-2.0 used for?
DeepSeek-V4: The next-generation flagship AI model for repo-level coding and long-context reasoning. LongCat-2.0: 1.6T MoE model for long-horizon agentic coding.
What does DeepSeek-V4 cost vs LongCat-2.0?
DeepSeek-V4 has no public paid-plan price on file. LongCat-2.0 has no public paid-plan price on file. Prices read on the vendors' pricing pages, latest check Oct 6, 2026.
What's the main difference between DeepSeek-V4 and LongCat-2.0?
DeepSeek-V4's main strength: potential for significant cost reduction in AI development due to competitive pricing and open weights. LongCat-2.0's main strength: open weights under a permissive MIT license, free to download, fine-tune, and self-host.
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