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Ling 3.0 Flash Fin vs MiMo-V2-Pro

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 35.8. Ling 3.0 Flash Fin is 16.7x cheaper per token.

InclusionAI · Xiaomi · Updated for 2026

Which is better?

Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.3 to 35.8, ranking #39 overall.

On price, Ling 3.0 Flash Fin is roughly 16.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

MiMo-V2-Pro also accepts a larger context window (1,000,000 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 Fin

  • overall performance matters — it scores 43.3 and ranks #39 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • cost matters — it's about 16.7x cheaper per token
  • you want the most recent training data — it shipped Sep 2026

Choose MiMo-V2-Pro

  • you process long inputs — it offers a 1,000,000 token context window

At a glance

The differences that matter most.

Ling 3.0 Flash Fin
InclusionAI
MiMo-V2-Pro
Xiaomi
Core performance indexes
LLM Stats Score
43.3
#39
35.8
#80
Reasoning
44.7
#32
37.6
#64
Agents
29.5
#35
17.4
#72
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.06 / M
$1.00 / M
Output price
$0.18 / M
$3.00 / M
Context window
262,144
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ling 3.0 Flash Fin
MiMo-V2-Pro
Tool use
20.5#56
18.5#64
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Ling 3.0 Flash Fin · 7 for MiMo-V2-Pro

No common benchmarks found

Ling 3.0 Flash Fin and MiMo-V2-Prodon'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

Ling 3.0 Flash Fin costs less

For input processing, Ling 3.0 Flash Fin ($0.06/1M tokens) is 16.7x cheaper than MiMo-V2-Pro ($1.00/1M tokens).

For output processing, Ling 3.0 Flash Fin ($0.18/1M tokens) is 16.7x cheaper than MiMo-V2-Pro ($3.00/1M tokens).

In conclusion, MiMo-V2-Pro is more expensive than Ling 3.0 Flash Fin.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Sep 08 2026 • llm-stats.com
InclusionAI
Ling 3.0 Flash Fin
Input tokens$0.06
Output tokens$0.18
Best providerDeepinfra
Xiaomi
MiMo-V2-Pro
Input tokens$1.00
Output tokens$3.00
Best providerXiaomi
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

876.0B diff

MiMo-V2-Pro has 876.0B more parameters than Ling 3.0 Flash Fin, making it 706.5% larger.

InclusionAI
Ling 3.0 Flash Fin
124.0Bparameters
Xiaomi
MiMo-V2-Pro
1.0Tparameters
124.0B
Ling 3.0 Flash Fin
1000.0B
MiMo-V2-Pro

Context Window

Maximum input and output token capacity

MiMo-V2-Pro accepts 1,000,000 input tokens compared to Ling 3.0 Flash Fin's 262,144 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while MiMo-V2-Pro is limited to 16,384 tokens.

InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
Xiaomi
MiMo-V2-Pro
Input1,000,000 tokens
Output16,384 tokens
Tue Sep 08 2026 • llm-stats.com

Release Timeline

When each model was launched

Ling 3.0 Flash Fin was released on 2026-09-03, while MiMo-V2-Pro was released on 2026-03-18.

Ling 3.0 Flash Fin is 6 months newer than MiMo-V2-Pro.

Ling 3.0 Flash Fin

Sep 3, 2026

5 days ago

5mo newer
MiMo-V2-Pro

Mar 18, 2026

5 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Ling 3.0 Flash Fin is available from DeepInfra. MiMo-V2-Pro is available from Xiaomi.

Ling 3.0 Flash Fin

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.18/1M

MiMo-V2-Pro

xiaomi logo
Xiaomi
Input Price:Input: $1.00/1MOutput Price:Output: $3.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Ling 3.0 Flash Fin and MiMo-V2-Pro side-by-side, then vote on the output you prefer.

Ling 3.0 Flash Fin
✓ Preferred
MiMo-V2-Pro
Open in Playground

FAQ

Common questions about Ling 3.0 Flash Fin vs MiMo-V2-Pro.

Which is better, Ling 3.0 Flash Fin or MiMo-V2-Pro?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 35.8. Ling 3.0 Flash Fin is made by InclusionAI and MiMo-V2-Pro is made by Xiaomi. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Ling 3.0 Flash Fin compare to MiMo-V2-Pro in benchmarks?

Ling 3.0 Flash Fin scores SpreadSheetBench-v1: 86.5%, Finance Agent v1.1: 69.2%, Finance Agent v2: 59.8%, Tau3 Banking: 41.0%, APEX-Agents: 29.2%. MiMo-V2-Pro scores Tau2 Telecom: 96.8%, DeepSearchQA: 86.7%, PinchBench: 81.0%, SWE-Bench Verified: 78.0%, SWE-bench Multilingual: 71.7%.

Is Ling 3.0 Flash Fin cheaper than MiMo-V2-Pro?

Ling 3.0 Flash Fin is 16.7x cheaper for input tokens. Ling 3.0 Flash Fin costs $0.06/M input and $0.18/M output via deepinfra. MiMo-V2-Pro costs $1.00/M input and $3.00/M output via xiaomi.

What are the context window sizes for Ling 3.0 Flash Fin and MiMo-V2-Pro?

Ling 3.0 Flash Fin supports 262K tokens and MiMo-V2-Pro supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Ling 3.0 Flash Fin and MiMo-V2-Pro?

Key differences include LLM Stats Score (43.3 vs 35.8), context window (262K vs 1.0M), input pricing ($0.06 vs $1.00/M), licensing (Unknown vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Ling 3.0 Flash Fin and MiMo-V2-Pro?

Ling 3.0 Flash Fin is developed by InclusionAI and MiMo-V2-Pro is developed by Xiaomi.

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