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Reviews and evidence

LongCat 2.0 · Community source · Personal experience

X field test: DeepSeek V4 Flash / V4 Pro / LongCat 2.0 in the same physics-and-coding task

The developer put DeepSeek V4 Flash 0731, DeepSeek V4 Pro, and LongCat 2.0 through the same "physics + coding" test (same task, same conditions). The result: "LongCat 2.0 surprised me the most" — it performed far more successfully than expected, and this was his first time encountering it on a free tier.

Unverified: the original source could not be rechecked. Historical figures below are not current verified results.

Community sourcePersonal experienceEdited 2026-09-20

Test conditions

Model/version
LongCat-2.0; source date: 2026-08-07.
Harness/task
> I put DeepSeek V4 Flash 0731, DeepSeek V4 Pro, and LongCat 2.0 through the same physics + coding test.; > All three models received the same task under the same conditions.
Sample/gaps
Limitations noted: The developer put DeepSeek V4 Flash 0731, DeepSeek V4 Pro, and LongCat 2.0 through the same "physics + coding" test (same task, same conditions). The result: "LongCat 2.0 surprised me the most" — it performed far more successfully than expected, and this was his first time encountering it on a free tier.

Key data and applicable tasks

One-sentence takeaway

The developer put DeepSeek V4 Flash 0731, DeepSeek V4 Pro, and LongCat 2.0 through the same "physics + coding" test (same task, same conditions). The result: "LongCat 2.0 surprised me the most" — it performed far more successfully than expected, and this was his first time encountering it on a free tier.

Original report (translated from Chinese)

I put DeepSeek V4 Flash 0731, DeepSeek V4 Pro, and LongCat 2.0 through the same physics + coding test. All three models… This is a necessary excerpt; read the original source for full context.

Verification and applicable limits

  • This was a self-designed test by a single author. The task details, scoring criteria, and tier were not disclosed (only "same task, same conditions" was stated), and the video is evidence of the output. It supports a directional conclusion — "LongCat 2.0 exceeded expectations on a physics-and-coding hybrid task and can compete alongside the DS4 series" — but not a precise ranking.

  • The conclusion is directionally consistent with r/hermesagent's positioning (between DS4-Flash and DS4-Pro, review 06): LongCat 2.0 and the DeepSeek V4 series occupy the same capability band, with intense value competition (AlphaSignal notes that DS4-Pro is listed at a lower price, review 04).

  • The free-tier experience is consistent with the "OpenRouter/Nous Portal free endpoint" (prompt directory 03), showing that a free entry point is indeed available and usable in performance terms.

What this supports

  • The developer put DeepSeek V4 Flash 0731, DeepSeek V4 Pro, and LongCat 2.0 through the same "physics + coding" test (same task, same conditions). The result: "LongCat 2.0 surprised me the most" — it performed far more successfully than expected, and this was his first time encountering it on a free tier.
  • > I put DeepSeek V4 Flash 0731, DeepSeek V4 Pro, and LongCat 2.0 through the same physics + coding test.

What this does not support

  • The developer put DeepSeek V4 Flash 0731, DeepSeek V4 Pro, and LongCat 2.0 through the same "physics + coding" test (same task, same conditions). The result: "LongCat 2.0 surprised me the most" — it performed far more successfully than expected, and this was his first time encountering it on a free tier.

Method, limits, and reproduction

The figures, task set, reasoning tier, and client conditions apply only to the listed source and collection snapshot. Different versions, harnesses, or providers must not be compared directly; undisclosed parameters remain unknown.

For a reproduction, fix the model version, provider or client, reasoning tier, tools, task-set version, sample count, and collection date, and record failures, retries, and human corrections. Full steps are in the source notes below.

Original source

X (Twitter) · Mucahit Gundogdu (@MuGundodev) · Original publication date 2026-08-07 · Site edit date 2026-09-20

Open original source

LongCat 2.0

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Overview · English

LongCat 2.0: what changed, where to use it, and what the price misses

LongCat 2.0 combines 1M context, open weights, and low provider pricing with real questions about tooling, data terms, and operational cost.

Related reviews

OpenRouter Channel Data: LongCat-2.0 Pricing, Measured Performance, and Third-Party Benchmarks (Artificial Analysis)The OpenRouter page provides a third-party view beyond the official figures: LongCat-2.0 is listed at $0.30/$1.20 per 1M tokens (with a 60% discount at collection time), while the actual weighted transaction price for input was only $0.03872/M (88.9% cache-hit rate); throughput was P50 29 tok/s, three-day availability 99.93%, and tool-call error rate 0.90%, with real traffic mainly coming from Hermes Agent (7.77B tokens) and Claude Code (3.31B tokens).LongCat-2.0 Official Model Card: Specifications and Official Benchmarks (Including Comparison Tables with Gemini/GPT-5.5/Claude Opus)The official model card is the primary authoritative source for judging LongCat-2.0's suitable tasks: it scores 59.5 on SWE-bench Pro, ahead of GPT-5.5 (58.6) and Gemini 3.1 Pro (54.2), and reaches 70.8 on Terminal-Bench 2.1. However, it trails GPT-5.5 and Claude Opus 4.8 on several benchmarks including BrowseComp, GPQA, and IFEval—in short, it is strong at coding and agent tasks, but not a leader in retrieval and general reasoning.LongCat-2.0 Official Technical Blog: Architecture, Training on Domestic Compute, and Inference Deployment (Release Notes)The official technical blog provides the complete technical foundation for LongCat-2.0 (LSA sparse attention, N-gram Embedding, 6D parallel training on domestic compute, and prefill-decode disaggregated deployment), making it useful for assessing the model's intended long-context and Agent capabilities, as well as reproducing the official benchmarks and deployment path.eesel Independent Review: LongCat-2.0's Agent Reliability and Hard Blockers to Production DeploymentThis independent review separates LongCat-2.0 into two questions: "can the model complete Agent work?" and "can the product enter enterprise production?" Public user reports support it as an inexpensive, stable coding executor, but its context specifications, tool contract, and data-governance documentation are insufficient to pass a sensitive-data production review.LongCat-2.0 API Platform Quick Start (Official Quick Start + Chat Completions Reference + Pricing)The LongCat Claude Code guide configures a compatible endpoint and keeps the first task in a disposable worktree.LongCat-2.0 Chat Template and Tool-Calling Configuration (Official Hugging Face Model Card)The official model card’s chat template and tool-call examples are converted into a local inference configuration check.Claude Code Integration with LongCat-2.0 (Official Documentation)The official LongCat integration guide configures a named client and keeps the first run observable and reversible.Official Account Showcase: Five “One-Prompt Generation” Creative Projects (Voxel/3D/CG/Landing Page/Mini-game)Source “Official Account Showcase: Five “One-Prompt Generation” Creative Projects (Voxel/3D/CG/Landing Page/Mini-game)” is organized as an executable task guide; its environment, inputs, and acceptance boundary follow the source.