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Review
MediaLongCat 2.5

AI Coding Daily: LongCat-2.5-Preview Scores 44.65 in OpenCode Coding Tests

Original source

AI Coding Daily

AuthorNot specified

Source date2026-10-02

Tabbit curation2026-10-02

Read original

One-sentence takeaway

As of the collection date, the LongCat-2.5-Preview and OpenCode combination scored 44.65/70 on the site's coding leaderboard, ranking 44th. This is a snapshot of a specific task and tool combination.

Use cases

  • Tasks this result can help assess: Short coding tasks based on existing codebases, including code quality, bug finding, and edge-case testing.

  • Tasks this result should not be generalized to: Multimodal understanding, long-running autonomous development, multi-agent collaboration, and performance with other clients.

  • Applicable model version: LongCat-2.5-Preview.

  • Test environment or client: OpenCode; the model provider, specific version, and runtime environment were not specified.

  • Reasoning level and parameters: Not specified.

Evaluation method

The leaderboard's methodology says the test covers 7 existing projects and 27 prompts across Laravel/PHP, React/TypeScript, Flutter/Dart, and Go. Each run starts from a fresh copy of a project, with no retries or human guidance mid-run; each prompt is run multiple times. This methodology page reflects the current explanation visible at the time of collection; it cannot be confirmed that every detail was identical during the October 2 test. The title of the video associated with the leaderboard mentions 24 coding prompts, which differs from the current methodology page. It should not be treated as definitive evidence of the prompt count for the same test.

Key results

The model-and-tool combination scored 44.65/70 overall. Code quality scores for Laravel and React-TS were 16.98/20 and 16.67/20, respectively; bug finding scored 2.4/10; edge-case testing across four projects scored 10.6/20; and the consistency penalty was 2.00 points.

Raw data

MetricValue on page
Leaderboard rank44 (2026-11-03 snapshot)
Total score44.65/70
Laravel code quality16.98/20
React-TS code quality16.67/20
Bug finding2.4/10
Edge-case testing10.6/20
Consistency penalty−2.00
Average time per prompt16 minutes 50 seconds
Average cost per promptN/A

The page says the cost for tests under the subscription plan is listed as N/A; this is not enough to calculate the model's API cost.

Conclusions and limitations

The score measures the model-and-tool combination, not the model's capabilities in isolation; the leaderboard ranking may change as new tests are added. The page does not provide the number of individual runs for this model, reasoning parameters, or confidence intervals, so the statistical significance of the differences cannot be assessed. The associated video and current methodology page differ in their prompt counts; the original video and test records would need to be checked to confirm the details of that run.

Reproduction notes

See the original leaderboard page, test methodology, and associated video. The page does not disclose enough specific configuration to guarantee strict reproduction of this score.

Curated by Tabbit

This is a third-party source navigator. Model versions, test environments, and personal experience vary; consult the original source.

LongCat 2.5

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LongCat 2.5

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