ModelPriceWatch.com
Last scan 2026-08-19 Models tracked 217 Providers 31 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

LongCat-2.0

by Meituan

Current Intro price coding open weights mid tier

Today's price · per 1M tokens

Input

$0.750

per 1M tokens

Output

$2.95

per 1M tokens

Blended

$1.30

blended $/1M — 3:1 weighted input:output

Cached input

$0.015

2% of input — prompt caching

How this price is scoped: Limited-time intro promo: $0.30 in / $1.20 out per 1M (list price tracked). USD is first-party on longcat.ai (international edition); longcat.chat (China edition) prices independently in CNY (¥5/¥20 list, ¥2/¥8 promo) — not an FX conversion.

Source: official Meituan pricing · read Aug 13, 2026 MODELPRICEWATCH.COM · 2026-08-19

Price receipt

No confirmed receipt. We hold dated captures of Meituan's pricing page, but none of them tied LongCat-2.0 to a published price on that page, so we do not claim this number is sourced. Check the provider's page directly before relying on it.

Overview

Meituan LongCat-2.0 — open-weight (MIT) 1.6T-parameter MoE (~48B active per token) agentic coding model. List price $0.75 in / $2.95 out per 1M tokens (limited-time intro promo $0.30 / $1.20) on Meituan's international edition (longcat.ai); the China edition (longcat.chat) lists an independently priced CNY twin (¥5 in / ¥20 out, promo ¥2 / ¥8) — the USD is the vendor's own list, not an FX conversion. Released HF config caps context at 262,144 tokens (256K); Meituan markets "native 1M" via LongCat Sparse Attention, unverified in the released config.

Run it yourself

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Capabilities

struck through = not supported
Input 1/5
Text ✓ Image Audio Video PDF
Output 1/5
Text ✓ Image Audio Video Embedding
Features 4/9
Prompt caching ✓ Reasoning Coding ✓ Fast inference Long context ✓ Open weights ✓ Multimodal Web search Realtime

Benchmark performance

accuracy % · higher is better
Percentile vs all tracked models 35th3 independent measurements
Percentile per $/Mtok 26.9
GPQA Diamond vendor
88.9%

Every per-benchmark score we hold for this model is reported by its own vendor, so none is counted toward an accuracy average or any ranking. The percentile above is its standing across the independent composites below.

Independent composite scores
  • AA Intelligence Index: 34 (Artificial Analysis composite across reasoning, knowledge and coding evals)
  • AA Agentic Index: 22 (Tool use, planning, autonomy)
  • AA-Omniscience Index: -23.4 (−100–100)
How it stacks up
  • Ranks #95 of 161 comparably-measured models by percentile score, across 3 independent measurements
  • Ranks #102 of 161 comparably-tested models by normalized performance per dollar

Source: Artificial Analysis, Meituan model card · updated Jul 18, 2026 · See full rankings →

Specifications

Provider
Meituan
Context window
262K tokens
Modality
text
Parameters
Proprietary
Open source
Yes — open weights available
Released
Jun 30, 2026
Status
Current
Last updated
Aug 13, 2026
Tags
codingopen-sourcemoe

Availability verified: Aug 9, 2026 — listed on Meituan's own page