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Review
CommunityLongCat 2.5

Reddit: LongCat 2.5 Preview First-Token Latency and Throughput Test

Original source

Reddit, r/opencode

Authoru/wwdennis5

Source date2026-10-13

Tabbit curation2026-10-13

Read original

One-sentence takeaway

In a brief test, the author reported a 2.19-second time to first token and a generation speed of 30.0 tokens per second for longcat-2.5-preview-free; the sample and configuration are insufficient to represent long-term service performance.

Use cases

  • Suitable for assessing: The response speeds of multiple model services during one specific time window.

  • Not suitable for extrapolating to: Model coding quality, official-release performance, or speeds under different times and service conditions.

  • Applicable model version: longcat-2.5-preview-free; these results should not be treated as results for the official release.

  • Test environment or client: Not specified. The comment appeared in a post discussing OpenCode Go speeds, but did not explicitly identify the provider or client for each model.

  • Reasoning tier and parameters: Not specified.

Evaluation method

The author described this as a quick test conducted from 2026-10-13 12:51 to 12:56, with n_calls = 3; the time zone and data aggregation method were not specified. The author did not disclose the inputs, output lengths, testing tool, or complete logs. The 52nd record from the same account documents a TB 2.1 task pass-rate test on a different date, not this speed test.

Key results

In the table, LongCat had lower time-to-first-token latency than Step-5, Muse, and MiMo, but a lower generation speed than every model except MiMo. The author noted that Step-5 was unstable during the test.

Raw data

Model identifierTime to first token (seconds)Speed (tokens/second)
cat-jam-free0.76168.2
deepseek-v4.1-flash0.9471.6
longcat-2.5-preview-free2.1930.0
step-5-preview-free2.3547.6
muse-spark-1.3-contributor3.30158.7
mimo-v2.6-flash8.8313.9

Conclusions and limitations

The data comes from one user's brief test. The specific statistical meaning of n_calls = 3, each model's configuration, and the request workloads were not described. Factors such as network conditions, service load, and output length may affect speed, so these results cannot establish model capability or long-term service levels.

Reproduction notes

Multiple requests can be sent to each model using the same client and test workload, recording the provider, time, input and output lengths, time to first token, and generation speed, then reporting each result and the aggregation method. The original comment lacks the necessary configuration details, so strict reproduction is not possible.

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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