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Head-to-head comparison

DeepSeek V4.1 Flash vs Laguna M.1

DeepSeek V4.1 Flash (DeepSeek) and Laguna M.1 (Poolside) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 10 September 2026

As of 10 September 2026, DeepSeek V4.1 Flash holds the stronger ModelCap Index position (#40 vs #42).

Which should you choose?

Choose DeepSeek V4.1 Flash if…

  • you want the stronger overall ModelCap Index position — #40 against #42 (65.2 vs 64.5 points).
  • you want provider choice — 3 listed API providers against 0.
  • you want the more recently listed model — DeepSeek V4.1 Flash was listed 10 September 2026, Laguna M.1 15 June 2026.

Choose Laguna M.1 if…

  • ModelCap publishes no field on which Laguna M.1 leads DeepSeek V4.1 Flash for this pair.

DeepSeek V4.1 Flash vs Laguna M.1: specs, pricing and context

Specification comparison of DeepSeek V4.1 Flash and Laguna M.1
FieldDeepSeek V4.1 FlashDeepSeekLaguna M.1Poolside
ModelCap Index position#40#42
Index score65.264.5
EvidenceEstimatedEstimated
Input price / 1M tokens$0.15Unlisted
Output price / 1M tokens$0.60Unlisted
Context window1M tokens— tokens
Max output tokens384K
API providers listed30
Weight accessOpen weightsOpen weights
Input modalitiesText, ImageText
First listed10 September 202615 June 2026
PublisherDeepSeekPoolside

Evidence: publisher-corpus-prior over 185 held-out anchors (22%); opens from measured predecessor deepseek/deepseek-v4-flash-0731 (78%); shrunk 2 toward the measured corpus · global-corpus-prior over 185 held-out anchors (7%); launch card against 3 resolved peers on 3 rows (94%); optimism haircut 0 from cross-lab-probe; shrunk 0.8 toward the measured corpus. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: DeepSeek V4.1 Flash vs Laguna M.1

Neither model has a published result on a public benchmark board ModelCap tracks yet.

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

DeepSeek V4.1 Flash vs Laguna M.1: common questions

Is DeepSeek V4.1 Flash better than Laguna M.1?

DeepSeek V4.1 Flash ranks higher on the ModelCap Index as of 10 September 2026: #40 against #42. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.

Is DeepSeek V4.1 Flash cheaper than Laguna M.1?

At least one of the two has no listed API price on ModelCap right now, so no price comparison is made.

Which has the bigger context window, DeepSeek V4.1 Flash or Laguna M.1?

Both publish a 1M-token context window.

Which is better for coding, DeepSeek V4.1 Flash or Laguna M.1?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are DeepSeek V4.1 Flash and Laguna M.1 open-weight models?

DeepSeek V4.1 Flash: Open weights. Laguna M.1: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run DeepSeek V4.1 Flash and Laguna M.1?

ModelCap currently lists 3 API providers for DeepSeek V4.1 Flash and 0 for Laguna M.1, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this DeepSeek V4.1 Flash vs Laguna M.1 comparison?

Every figure comes from the sealed ModelCap dataset published 10 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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