Ling 3.0 Flash VL (InclusionAI) and Mistral Medium 3.5 (Mistral AI) 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 14 September 2026
As of 14 September 2026, Ling 3.0 Flash VL holds the stronger ModelCap Index position (#57 vs #60); Ling 3.0 Flash VL is 41.7× cheaper per output token ($0.18/1M vs $7.50/1M); Mistral Medium 3.5 offers the longer context window (262K vs 131K tokens); and Ling 3.0 Flash VL ships open weights.
Evidence: 1 public benchmark observation across 1 board · 4 public benchmark observations across 4 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Benchmark scores: Ling 3.0 Flash VL vs Mistral Medium 3.5
Public benchmark boards where Ling 3.0 Flash VL or Mistral Medium 3.5 has a published result
Ling 3.0 Flash VL vs Mistral Medium 3.5: common questions
Is Ling 3.0 Flash VL better than Mistral Medium 3.5?
Ling 3.0 Flash VL ranks higher on the ModelCap Index as of 14 September 2026: #57 against #60. 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 Ling 3.0 Flash VL cheaper than Mistral Medium 3.5?
Ling 3.0 Flash VL is cheaper on output tokens: $0.18/1M against $7.50/1M. Input tokens are $0.06/1M for Ling 3.0 Flash VL and $1.50/1M for Mistral Medium 3.5. 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 $0.21 for Ling 3.0 Flash VL versus $6.75 for Mistral Medium 3.5. Ling 3.0 Flash VL costs 96.9% 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, Ling 3.0 Flash VL or Mistral Medium 3.5?
Mistral Medium 3.5 has the larger context window: 262K tokens against 131K.
Which is better for coding, Ling 3.0 Flash VL or Mistral Medium 3.5?
AA Terminal-Bench 2.1: Ling 3.0 Flash VL 64.4%, Mistral Medium 3.5 50.6% — Ling 3.0 Flash VL leads.
Are Ling 3.0 Flash VL and Mistral Medium 3.5 open-weight models?
Ling 3.0 Flash VL: Open weights. Mistral Medium 3.5: API only. 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 Ling 3.0 Flash VL and Mistral Medium 3.5?
ModelCap currently lists 1 API provider for Ling 3.0 Flash VL and 1 for Mistral Medium 3.5, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
How current is this Ling 3.0 Flash VL vs Mistral Medium 3.5 comparison?
Every figure comes from the sealed ModelCap dataset published 14 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.