MELongCat 2.0 Open vs 
GPT-3.5 Turbo (older v0613) Paid
LongCat 2.0 vs GPT-3.5 Turbo (older v0613) compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.
GPT-3.5 Turbo (older v0613) — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
$1.2 /M outputNo per-token fees if you self-host
$2 /M outputManaged API (no infra to run)
LongCat 2.0 vs GPT-3.5 Turbo (older v0613) specs
| Spec | LongCat 2.0 | GPT-3.5 Turbo (older v0613) | Winner |
|---|---|---|---|
| Maker | Meituan | OpenAI | – |
| Type | Open-weight | Proprietary | MELongCat 2.0 |
| Context window | 1M tokens | 4K tokens | MELongCat 2.0 |
| Input price | $0.3/M · free self-host | $1/M | MELongCat 2.0 |
| Output price | $1.2/M · free self-host | $2/M | MELongCat 2.0 |
| Vision / multimodal | No | No | – |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | Yes | No (API only) | MELongCat 2.0 |
| License | Open weights | Proprietary | MELongCat 2.0 |
Price gap & when to choose each
LongCat 2.0 is ~1.7× cheaper than GPT-3.5 Turbo (older v0613) on output tokens ($1.2 vs $2 per M tokens).
- 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
- You want frontier performance through a managed API
- You value reliability & ecosystem
- You don't want to manage infrastructure
Feature comparison
| Capability | LongCat 2.0 | GPT-3.5 Turbo (older v0613) |
|---|---|---|
| Open weights (downloadable) | ✓ | ✗ |
| Self-hostable | ✓ | ✗ |
| Runs fully offline | ✓ | ✗ |
| Vision / multimodal | ✗ | ✗ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✓ | ✗ |
Benchmarks: LongCat 2.0 vs GPT-3.5 Turbo (older v0613)
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How LongCat 2.0 and GPT-3.5 Turbo (older v0613) score
| Criterion | LongCat 2.0 | GPT-3.5 Turbo (older v0613) |
|---|---|---|
| Cost-efficiency | 4.5 | 4.5 |
| Context window | 5.0 | 2.0 |
| Openness | 5.0 | 1.5 |
| Self-hosting | 5.0 | 1.0 |
| Multimodality | 3.5 | 3.5 |
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
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...
GPT-3.5 Turbo (older v0613) Paid
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
Frequently asked questions
Is LongCat 2.0 as good as GPT-3.5 Turbo (older v0613)?
LongCat 2.0 is open-weight and competitive on many tasks, but GPT-3.5 Turbo (older v0613) 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. GPT-3.5 Turbo (older v0613) is API-only and cannot be self-hosted.
How much cheaper is LongCat 2.0?
LongCat 2.0 costs $1.2/M output vs $2/M for GPT-3.5 Turbo (older v0613) — roughly 2x cheaper via API, and free if you self-host.
LongCat 2.0 vs GPT-3.5 Turbo (older v0613) — 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 GPT-3.5 Turbo (older v0613) if you want frontier capability through a managed API with zero infrastructure to run.
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