Ling 3.0 Flash vs MAI-Code-1.1-Flash
Ling 3.0 Flash and MAI-Code-1.1-Flash are closely matched at 36.2 and 27.8 on the LLM Stats Score. Ling 3.0 Flash is 5.0x cheaper per token.
InclusionAI · Microsoft · Updated for 2026
Which is better?
Ling 3.0 Flash and MAI-Code-1.1-Flash are closely matched on the overall LLM Stats Score at 36.2 and 27.8.
In the 1 individual benchmarks reported for both models, MAI-Code-1.1-Flash wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Ling 3.0 Flash is roughly 5.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MAI-Code-1.1-Flash also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Ling 3.0 Flash
- cost matters — it's about 5.0x cheaper per token
Choose MAI-Code-1.1-Flash
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 256,000 token context window
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Individual benchmarks
19 reported for Ling 3.0 Flash · 2 for MAI-Code-1.1-Flash
Ling 3.0 Flash outperforms in 0 benchmarks, while MAI-Code-1.1-Flash is better at 1 benchmark (Terminal-Bench 2.1).
MAI-Code-1.1-Flash significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Ling 3.0 Flash ($0.06/1M tokens) is 3.3x cheaper than MAI-Code-1.1-Flash ($0.20/1M tokens).
For output processing, Ling 3.0 Flash ($0.18/1M tokens) is 6.7x cheaper than MAI-Code-1.1-Flash ($1.20/1M tokens).
In conclusion, MAI-Code-1.1-Flash is more expensive than Ling 3.0 Flash.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MAI-Code-1.1-Flash has 14.0B more parameters than Ling 3.0 Flash, making it 11.3% larger.
Context Window
Maximum input and output token capacity
MAI-Code-1.1-Flash accepts 256,000 input tokens compared to Ling 3.0 Flash's 131,072 tokens. Only Ling 3.0 Flash specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
MAI-Code-1.1-Flash supports multimodal inputs, whereas Ling 3.0 Flash does not.
MAI-Code-1.1-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Ling 3.0 Flash
MAI-Code-1.1-Flash
Release Timeline
When each model was launched
Ling 3.0 Flash was released on 2026-08-04, while MAI-Code-1.1-Flash was released on 2026-08-11.
MAI-Code-1.1-Flash is 0 month newer than Ling 3.0 Flash.
Aug 4, 2026
1 months ago
Aug 11, 2026
1 months ago
1w newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Ling 3.0 Flash is available from DeepInfra. MAI-Code-1.1-Flash is available from GitHub Copilot.
Ling 3.0 Flash
MAI-Code-1.1-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against Ling 3.0 Flash and MAI-Code-1.1-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ling 3.0 Flash vs MAI-Code-1.1-Flash.