Ling 3.0 Flash Fin vs Mistral Small
Comparing Ling 3.0 Flash Fin and Mistral Small across benchmarks, pricing, and capabilities.
InclusionAI · Mistral AI · Updated for 2026
Which is better?
Ling 3.0 Flash Fin and Mistral Small trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Ling 3.0 Flash Fin is roughly 3.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Ling 3.0 Flash Fin also accepts a larger context window (262,144 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 Fin
- cost matters — it's about 3.3x cheaper per token
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Mistral Small
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
6 reported for Ling 3.0 Flash Fin · 0 for Mistral Small
Ling 3.0 Flash Fin and Mistral Smalldon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
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 Fin ($0.06/1M tokens) is 3.3x cheaper than Mistral Small ($0.20/1M tokens).
For output processing, Ling 3.0 Flash Fin ($0.18/1M tokens) is 3.3x cheaper than Mistral Small ($0.60/1M tokens).
In conclusion, Mistral Small is more expensive than Ling 3.0 Flash Fin.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Ling 3.0 Flash Fin has 102.0B more parameters than Mistral Small, making it 463.6% larger.
Context Window
Maximum input and output token capacity
Ling 3.0 Flash Fin accepts 262,144 input tokens compared to Mistral Small's 32,768 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while Mistral Small is limited to 32,768 tokens.
Release Timeline
When each model was launched
Ling 3.0 Flash Fin was released on 2026-09-03, while Mistral Small was released on 2024-09-17.
Ling 3.0 Flash Fin is 24 months newer than Mistral Small.
Sep 3, 2026
6 days ago
2.0yr newerSep 17, 2024
2.0 years ago
Knowledge 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 Fin is available from DeepInfra. Mistral Small is available from Mistral AI.
Ling 3.0 Flash Fin
Mistral Small
Outputs Comparison
Judge for yourself.
Run your own prompts against Ling 3.0 Flash Fin and Mistral Small side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ling 3.0 Flash Fin vs Mistral Small.