AI Models · Open-Source vs Paid

MELongCat 2.0 Open vs Claude Fable 5 (batch) Paid

LongCat 2.0 vs Claude Fable 5 (batch) compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

MELongCat 2.0OpenMeituan
$0.3 /M input
$1.2 /M outputNo per-token fees if you self-host
TypeOpen-weight
Context window1M tokens
MultimodalNo
Self-hostYes
Claude Fable 5 (batch)PaidAnthropic
$5 /M input
$25 /M outputManaged API (no infra to run)
TypeProprietary
Context window1M tokens
MultimodalYes
Self-hostNo
Choose LongCat 2.0 if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Claude Fable 5 (batch) if you want frontier capability through a managed API with zero infrastructure to run.

LongCat 2.0 vs Claude Fable 5 (batch) specs

SpecLongCat 2.0Claude Fable 5 (batch)Winner
MakerMeituanAnthropic
TypeOpen-weightProprietaryMELongCat 2.0
Context window1M tokens1M tokensMELongCat 2.0
Input price$0.3/M · free self-host$5/MMELongCat 2.0
Output price$1.2/M · free self-host$25/MMELongCat 2.0
Vision / multimodalNoYesClaude Fable 5 (batch)
Tool / function callingYesYes= Tie
Self-hostableYesNo (API only)MELongCat 2.0
LicenseOpen weightsProprietaryMELongCat 2.0

Price gap & when to choose each

21×cheaper per output token

LongCat 2.0 is ~21× cheaper than Claude Fable 5 (batch) on output tokens ($1.2 vs $25 per M tokens).

MEChoose LongCat 2.0 if…
  • You want to self-host or run on your cloud
  • You need the longer 1M context window
  • You prioritize data privacy & control
  • You want the lowest operating costs
  • You are building open or reproducible AI
Choose Claude Fable 5 (batch) if…
  • You want frontier performance through a managed API
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityLongCat 2.0Claude Fable 5 (batch)
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: LongCat 2.0 vs Claude Fable 5 (batch)

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

LongCat 2.0 delivers 15× more intelligence per dollar.
LongCat 2.0
Claude Fable 5 (batch)
Intelligence index
19.7
49.7
Coding index
45.3
76.5
GPQA
78%
92.6%
Humanity's Last Exam
33.7%
55.5%
Long Context Reasoning
65%
82.3%
SciCode
36.3%
61%
τ-Bench Banking
13.2%
38.1%
Terminal-Bench
50.2%
84.6%
IFBench
63.5%
τ²-Bench
98.5%
Terminal-Bench Hard
62.9%
Speed
0 tok/s
70 tok/s
Latency
0s
60.71s
Intelligence per $
37.5
2.5

Benchmark data by Artificial Analysis.

How LongCat 2.0 and Claude Fable 5 (batch) score

🏆 Best value & openness: LongCat 2.0 (4.6 vs 3.1 / 5)
CriterionLongCat 2.0Claude Fable 5 (batch)
Cost-efficiency4.53.0
Context window5.05.0
Openness5.01.5
Self-hosting5.01.0
Multimodality3.55.0

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

LongCat 2.0 Open

Meituan · Open-weight

LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total. It is suited for coding, repository-level changes, long-horizon problem solving, and agentic...

Claude Fable 5 (batch) Paid

Anthropic · Proprietary

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...

Frequently asked questions

Is LongCat 2.0 as good as Claude Fable 5 (batch)?

LongCat 2.0 is open-weight and competitive on many tasks, but Claude Fable 5 (batch) may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.

Can I run LongCat 2.0 locally?

Yes. LongCat 2.0 has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Claude Fable 5 (batch) is API-only and cannot be self-hosted.

How much cheaper is LongCat 2.0?

LongCat 2.0 costs $1.2/M output vs $25/M for Claude Fable 5 (batch) — roughly 21x cheaper via API, and free if you self-host.

LongCat 2.0 vs Claude Fable 5 (batch) — which should I pick in 2026?

Choose LongCat 2.0 if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Claude Fable 5 (batch) if you want frontier capability through a managed API with zero infrastructure to run.

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