Data as of October 20, 2026 · How the score is built
Released Oct 19, 2026262K contextInclusionAI Ling-3.0-flash-Sante model card
Ling 3.0 Flash Sante
Decision readingLing 3.0 Flash Sante is tracked, but not publicly ranked yet. The profile exposes 6 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Released Oct 19, 2026 — see all recent releases
Decision snapshot
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Capability
Unranked
field median 49.9Not eligible for a public rank
Price
Self-hosted; infrastructure cost varies
input median $0.72No comparable first-party hosted token rate
Speed
Not measured
field median 93.5 tok/sTime to first token not measured
Context
262Ktokens
field median 256,000Maximum output length is tracked separately
Strongest published evidence
Published rows are visible, but no category has enough eligible evidence for a comparative rank.
Validate before choosing
6 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Source-linked · 6 displayable benchmark rows
Category score record
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank Not rankedWeight 22%4 benchmarksVerified | 66.9 | 4 benchmarks | Verified | |||
| CodingWeight 20%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| KnowledgeWeight 12%2 benchmarksVerified | Score pending | 2 benchmarks | Verified | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MathWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured |
6 of 728 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow much of this is verified
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
- Agentic4/4 verified
- CodingNot measured
- ReasoningNot measured
- MultimodalNot measured
- Knowledge2/2 verified
- MultilingualNot measured
- Inst. FollowingNot measured
- MathNot measured
Benchmark ledger
Agentic opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
Agentic4 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| BrowseComp | Score80.2% | Versus best verified row Best verified: Atria Dawn Preview · 92.5% | Gap12.3 behind | Weight8% ref. weight | Provider exact |
| MCP Atlas | Score75.6% | Versus best verified row Best verified: Muse Spark Open · 89.2% | Gap13.6 behind | Weight4% ref. weight | Provider exact |
| HLE w/ toolsHumanity's Last Exam with tools | Score57.1% | Versus best verified row Best verified: Claude Opus 5.5 · 67.7% | Gap10.6 behind | Weight3% ref. weight | Provider exact |
| DeepSearchQA | Score90.8% | Versus best verified row Best verified: Atria Dawn Preview · 96.0% | Gap5.2 behind | Weight2% ref. weight | Provider exact |
Knowledge2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HealthBench Professional | Score54.3% | Versus best verified row Best verified: Claude Sonnet 5.5 · 69.2% | Gap14.9 behind | WeightDisplay only | Provider exact |
| MedXpertQA (Text)MedXpertQA Text | Score51.0% | Versus best verified row Best verified: Muse Spark · 52.6% | Gap1.6 behind | WeightDisplay only | Provider exact |
Bars run 0–100; the dark tick marks the best source-verified value
All 6 rowsLineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- Not publishedInclusionAI Ling-3.0-flash-Sante model card
- Context window
- 262KInclusionAI Ling-3.0-flash-Sante model card
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- Not sourced yet
- Availability
- InclusionAI publishes the BF16 checkpoint under the MIT License on Hugging Face and ModelScope, first uploaded October 19, 2026 and refreshed October 22, 2026. The card documents SGLang and vLLM deployment, thinking mode on by default, tool calling, and a 262,144-token serving context. No token price is published; the card links a Vercel AI Gateway listing that was not checked.
- Cloud regions
- Not tracked yet
- Lifecycle
- Current
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing recordInclusionAI Ling-3.0-flash-Sante model card
- Self-host
- Ling 3.0 Flash Sante needs ~80GB VRAM (1× NVIDIA H100 (80GB)).
- Rate limits
- Not tracked yet
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
We track Ling 3.0 Flash Sante, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.
Ling 3.0 Flash Sante is a open weight model with a 262K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
InclusionAI publishes the BF16 checkpoint under the MIT License on Hugging Face and ModelScope, first uploaded October 19, 2026 and refreshed October 22, 2026. The card documents SGLang and vLLM deployment, thinking mode on by default, tool calling, and a 262,144-token serving context. No token price is published; the card links a Vercel AI Gateway listing that was not checked.
Ling 3.0 Flash Sante sits in the Ling 3.0 family with Ling 3.0 Flash, Ling 3.0 Flash VL, Ling 3.0 Flash FP8, Ling 3.0 Tiny, Ling 3.0 Flash Fin. 6 of 728 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Last updated October 20, 2026. Runtime fields remain blank until a sourced snapshot exists.
Deployment options
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
Questions
How does Ling 3.0 Flash Sante perform overall in AI benchmarks?
Ling 3.0 Flash Sante has 6 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.
Is Ling 3.0 Flash Sante good for knowledge and understanding?
Ling 3.0 Flash Sante has source-displayable benchmark coverage for knowledge and understanding, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is Ling 3.0 Flash Sante good for agentic tool use and computer tasks?
Ling 3.0 Flash Sante has source-displayable benchmark coverage for agentic tool use and computer tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is Ling 3.0 Flash Sante open source?
Ling 3.0 Flash Sante is an open-weight model from InclusionAI. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.
Which sibling models are related to Ling 3.0 Flash Sante?
Ling 3.0 Flash Sante belongs to the Ling 3.0 family. Related tracked variants include Ling 3.0 Flash, Ling 3.0 Flash VL, Ling 3.0 Flash FP8, plus 2 more. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.
Does Ling 3.0 Flash Sante have full benchmark coverage on BenchLM?
No. Ling 3.0 Flash Sante currently has 8 source-displayable rows. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of Ling 3.0 Flash Sante?
Ling 3.0 Flash Sante has a documented context window of 262K. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.