Mistral Small 4 (Mistral AI) and Qwen3.5-9B (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, Mistral Small 4 holds the stronger ModelCap Index position (#96 vs #97); and Qwen3.5-9B is 4× cheaper per output token ($0.15/1M vs $0.60/1M).
Evidence: 1 public benchmark observation across 1 board · publisher-corpus-prior over 182 held-out anchors (30%); launch card against 3 resolved peers on 10 rows (70%); exceeds every named peer on 4 of 10 rows; optimism haircut 0.6 from cross-lab-probe; shrunk 3.7 up toward the measured corpus. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Benchmark scores: Mistral Small 4 vs Qwen3.5-9B
Public benchmark boards where Mistral Small 4 or Qwen3.5-9B has a published result
Mistral Small 4 ranks higher on the ModelCap Index as of 9 September 2026: #96 against #97. 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 Mistral Small 4 cheaper than Qwen3.5-9B?
Qwen3.5-9B is cheaper on output tokens: $0.15/1M against $0.60/1M. Input tokens are $0.15/1M for Mistral Small 4 and $0.10/1M for Qwen3.5-9B. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.60 for Mistral Small 4 versus $0.27 for Qwen3.5-9B. Qwen3.5-9B costs 54.2% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
Which has the bigger context window, Mistral Small 4 or Qwen3.5-9B?
Both publish a 262K-token context window.
Which is better for coding, Mistral Small 4 or Qwen3.5-9B?
AA Terminal-Bench 2.1: Mistral Small 4 21.0%, Qwen3.5-9B 29.2% — Qwen3.5-9B leads.
Are Mistral Small 4 and Qwen3.5-9B open-weight models?
Mistral Small 4: Open weights. Qwen3.5-9B: 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 Mistral Small 4 and Qwen3.5-9B?
ModelCap currently lists 2 API providers for Mistral Small 4 and 6 for Qwen3.5-9B, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
How current is this Mistral Small 4 vs Qwen3.5-9B comparison?
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.