Head-to-head comparison
MiniMax M1 80k (MiniMaxAI) and Qwen3.6 35B A3B (Qwen) 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 9 September 2026
As of 9 September 2026, MiniMax M1 80k holds the stronger ModelCap Index position (#74 vs #75); and MiniMax M1 80k offers the longer context window (1M vs 262K tokens).
Evidence: global-corpus-prior over 183 held-out anchors (19%); launch card against 5 resolved peers on 9 rows (81%); exceeds every named peer on 1 of 9 rows; optimism haircut 0 from cross-lab-probe; shrunk 0.6 up toward the measured corpus · publisher-corpus-prior over 183 held-out anchors (13%); opens above measured predecessor qwen/qwen3.5-35b-a3b on same-family ordering evidence (46%); launch card against 4 resolved peers on 10 rows (41%); exceeds every named peer on 2 of 10 rows; optimism haircut 0 from cross-lab-probe; shrunk 0.1 toward the measured corpus. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.
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MiniMax M1 80k ranks higher on the ModelCap Index as of 9 September 2026: #74 against #75. 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.
At least one of the two has no listed API price on ModelCap right now, so no price comparison is made.
MiniMax M1 80k has the larger context window: 1M tokens against 262K.
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.
MiniMax M1 80k: Open weights. Qwen3.6 35B A3B: 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.
ModelCap currently lists 0 API providers for MiniMax M1 80k and 10 for Qwen3.6 35B A3B, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
Every figure comes from the sealed ModelCap dataset published 9 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.