head-to-head · model vs model
DeepSeek V3.2 vs Laguna M.1
Live matchup data for DeepSeek V3.2 and Laguna M.1: OpenRouter usage, pricing, benchmark scores, and community sentiment, refreshed daily. No verdicts — read the tape.
usage share — openrouter model rankings
Usage crossover
current leader: Laguna M.1
source: OpenRouter model rankings · daily · 90d · ○ 1 lead change
through Jul 7, 2026
side by side
Spec & pricing
| Spec | DeepSeek V3.2 | Laguna M.1 |
|---|---|---|
| Vendor | DeepSeek | Poolside |
| Homepage | openrouter.ai | openrouter.ai |
| Context window | 131.1K tokens | 262.1K tokens |
| Input price | $0.23/MTok | $0.00/MTok |
| Output price | $0.34/MTok | $0.00/MTok |
| Cache read | $0.023/MTok | — |
| Price as of | Jul 8, 2026 · openrouter | Jul 8, 2026 · openrouter |
sources: provider pages · OpenRouter · GitHub · package registries
— = not tracked / not applicable
head to head
Benchmarks
| Benchmark | DeepSeek V3.2 | Laguna M.1 | Source |
|---|---|---|---|
| aa-coding-index | 44.2 index— · deepseek/deepseek-v3.2 | — | openrouter.ai |
| Aider Polyglot | 74.2%Oct 3 · DeepSeek-V3.2-Exp (Reasoner) | — | github.com |
| swe-bench-multilingual | 59%Feb 13 · mini v2.0.0a0 deepseek 3 2 | — | github.com |
best tracked score per benchmark · scores are not directly comparable across benchmarks
sources linked per row
community pulse
Reddit sentiment
| Signal | DeepSeek V3.2 | Laguna M.1 |
|---|---|---|
sentiment feed pending — Reddit pulse lands with the daily crawl | ||
source: Reddit mentions, LLM-classified sentiment · trailing 30d
awaiting first crawl
faq
Frequently asked
- Is DeepSeek V3.2 more used than Laguna M.1?
- As of Jul 7, 2026, DeepSeek V3.2 shows 0.8% of OpenRouter token volume and Laguna M.1 shows 1% of OpenRouter token volume. The chart above tracks the full daily series with every lead change marked.
- How does DeepSeek V3.2 pricing compare to Laguna M.1?
- DeepSeek V3.2 runs $0.23 per million input tokens and $0.34 per million output tokens (as of Jul 8, 2026). Laguna M.1 runs $0.00 per million input tokens and $0.00 per million output tokens (as of Jul 8, 2026). Full plan and per-token detail is in the spec table above, each with its source and capture date.
- How do DeepSeek V3.2 and Laguna M.1 score on coding benchmarks?
- The tape holds 4 tracked results for DeepSeek V3.2 and 0 for Laguna M.1, but none on a shared benchmark yet — scores are listed side by side without a common baseline.
- Where does this comparison data come from?
- OpenRouter public rankings (usage), provider pricing pages (plans and per-token prices), GitHub and package registries (adoption), public benchmark leaderboards, and Reddit (sentiment). Every stored datum keeps its source URL, and the tape refreshes daily. The Token Tape publishes the data without declaring a winner.
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