Coding · Head-to-head

DeepSeek vs Laguna XS.2

DeepSeek (freemium, AI Score 8.7/10) vs Laguna XS.2 (free, AI Score 8.2/10). Side-by-side pricing, features, pros and cons, and which to pick.

The verdict

Pick DeepSeek if…

→overall capability matters more than price (AI Score 8.7 vs 8.2)
→you want our editor's pick for this category
→your primary use case is developers who own their agent harness and can hold a stable prompt prefix, since the cache rate is what makes deepseek cheap, and whose work is text rather than screenshots or audio.

Try DeepSeek →

Pick Laguna XS.2 if…

→budget is the constraint
→your primary use case is developers and small teams who want a self-hosted coding model for agentic repo work on a single 36gb gpu or mac, with no per-token bill and no vendor able to retire the model on them.

Try Laguna XS.2 →

Spec	DeepSeek	Laguna XS.2
Category	Coding	Coding
Pricing model	freemium	free
Headline pricing	Free chat + API from $0.14/M input tokens (V4-Flash beta)	Free open weights (Apache 2.0). Hosted API — check website for current pricing
Free tier	Free web and mobile chat with daily usage limits; API is pay-as-you-go, check the platform console for any current credit offer	The weights themselves are permanently free under Apache 2.0 — self-hosting costs only your hardware. Hosted API pricing is unverified; check the vendor site.
AI Score	8.7/10	8.2/10
Best for	Developers who own their agent harness and can hold a stable prompt prefix, since the cache rate is what makes DeepSeek cheap, and whose work is text rather than screenshots or audio.	Developers and small teams who want a self-hosted coding model for agentic repo work on a single 36GB GPU or Mac, with no per-token bill and no vendor able to retire the model on them.
Editor's pick	✓ Yes	—
Use cases	development agents	development agents
Date added	2026-05-01	2026-05-02

Coding · freemium

✓V4-Flash lists $0.14/M input and $0.28/M output, roughly 36x and 107x under GPT-5.6 Sol's $5 and $30
✓Cache hits at $0.003/M make a repeated agent prefix nearly free, blending to about $0.06/M on an agent-shaped traffic mix
✓MIT-licensed 284B/13B-active weights on Hugging Face, so the same model can be self-hosted or fine-tuned
✓1M-token context on both V4-Pro and V4-Flash handles whole codebases without chunking
✓Native Responses API plus stated Codex adaptation lets agent harnesses point at it without a chat shim

×Text in, text out — no image, audio or video input, so screenshot-driven debugging is off the table
×V4-Flash is a public beta: no SLA, movable rate limits, and no published throughput figure (Artificial Analysis lists Speed as N/A)
×Verbose output — 210M tokens across nine evaluations against a 100M median, which eats into the cheap-token advantage
×China-hosted inference, and the Responses path parks conversation state on DeepSeek's servers, a compliance question before an engineering one

Coding · free

✓Apache 2.0 with no commercial or fine-tuning restrictions — the license cannot be revoked on weights you already have
✓Roughly 3B active parameters means fast, cheap inference relative to its benchmark tier
✓Fits on a single 36GB GPU or Mac, which keeps private and regulated codebases entirely local
✓Purpose-built for agentic loops — file editing, test runs, iterative debugging — rather than autocomplete
✓Zero marginal cost once self-hosted, unlike per-token frontier coding APIs

×No longer a leader — GLM-5.2, MiniMax M3, DeepSeek and Qwen coder models now compete directly, and frontier closed models are clearly ahead on agentic coding
×Code-only by design: no vision, no computer use, no tool-native multimodality, and weak on general knowledge
×Thinner ecosystem than the major open-weight labs — fewer quantizations, integrations and community fine-tunes; hosted-access pricing was a temporary preview with unclear current status
×36GB memory floor rules out budget laptops and smaller consumer GPUs

Updated 2026-08-10. Spec data sourced from official product pages and tracked in our public directory at /tools.