Decision support

Ling 3.0 Flash Sante vs Qwen3.7 Flash

Compare canonical objects directly. The useful dimensions change with the object type, so model and hardware comparisons stay separate.

Models Hardware

Ling 3.0 Flash Sante

InclusionAI

Sources:models.devOpenRouter

Qwen3.7 Flash

Qwen

Sources:models.devOpenRouter

Benchmark results

FrontierMath-Tiers-1-3-v2-Private
Best published score · Higher is better
- Ling 3.0 Flash Sante
  Not reported
- Qwen3.7 Flash
  19.3%
  #79 of 87
Runs and sources
Ling 3.0 Flash Sante
Not reported
Qwen3.7 Flash
none19.3%
default19.3%
Source:Epoch AI evaluation
GPQA diamond
Best published score · Higher is better
- Ling 3.0 Flash Sante
  Not reported
- Qwen3.7 Flash
  82.3%
  #81 of 161
Runs and sources
Ling 3.0 Flash Sante
Not reported
Qwen3.7 Flash
none80.8%
default82.3%
Source:Epoch AI evaluation
OTIS Mock AIME 2024-2025
Best published score · Higher is better
- Ling 3.0 Flash Sante
  Not reported
- Qwen3.7 Flash
  86.7%
  #66 of 158
Runs and sources
Ling 3.0 Flash Sante
Not reported
Qwen3.7 Flash
none77.8%
default86.7%
Source:Epoch AI evaluation

Each model's best published result is shown; "Not reported" means no matched evaluation, not a score of zero. Arena and DeepSWE ranks are the leaderboards' own; other ranks are among catalogue models with a score. Results from different harnesses or settings are not directly comparable.

Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.

Model specifications

Release date

September 4, 2026

July 15, 2026

Context window

262K

Native context

—

Max output tokens

32,768

65,536

Knowledge cutoff

—

Open weights

Closed

Parameter count

—

API pricing · USD per 1M tokens

Input

$0.042

$0.03

Output

$0.1232

$0.13

Cached input

$0.0084

$0.006

Cache write

—

$0.038

Capabilities and modalities

Input modalities

text

text, image, video

Output modalities

text

Tool calling

Supported

Reasoning option

Supported

Supported options

frequency_penalty, include_reasoning, logprobs, max_tokens, presence_penalty, reasoning, repetition_penalty, seed, stop, temperature, tool_choice, tools, top_k, top_logprobs, top_p

include_reasoning, logprobs, max_tokens, presence_penalty, reasoning, response_format, seed, temperature, tool_choice, tools, top_logprobs, top_p

Capabilities

—

Architecture and availability

Architecture

—

Model families

—

Tokenizer

Other

Qwen

Instruction format

—

License

—

Providers

Provider endpoints

Ollama variants

Metadata source

ai-research

models.dev

A dash means the field is not reported. Provider-specific performance and pricing may differ.

Benchmark results

FrontierMath-Tiers-1-3-v2-Private

GPQA diamond

OTIS Mock AIME 2024-2025

Model specifications

API pricing · USD per 1M tokens

Capabilities and modalities

Architecture and availability