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Ling 3.0 Flash Fin vs MiniMax M2

Ling 3.0 Flash Fin leads the LLM Stats Score 43.0 to 26.9. Ling 3.0 Flash Fin is 5.8x cheaper per token.

InclusionAI · MiniMax · Updated for 2026

Which is better?

Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.0 to 26.9, ranking #44 overall.

On price, Ling 3.0 Flash Fin is roughly 5.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

MiniMax M2 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 43.0 and ranks #44 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • cost matters — it's about 5.8x cheaper per token
  • you want the most recent training data — it shipped Sep 2026

Choose MiniMax M2

  • you process long inputs — it offers a 1,000,000 token context window
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Ling 3.0 Flash Fin
InclusionAI
MiniMax M2
MiniMax
Core performance indexes
LLM Stats Score
43.0
#44
26.9
#146
Reasoning
44.2
#35
26.5
#146
Agents
29.2
#37
9.4
#124
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.06 / M
$0.30 / M
Output price
$0.18 / M
$1.20 / 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
MiniMax M2
Tool use
20.4#58
10.0#128
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Ling 3.0 Flash Fin · 16 for MiniMax M2

No common benchmarks found

Ling 3.0 Flash Fin and MiniMax M2don'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 5.0x cheaper than MiniMax M2 ($0.30/1M tokens).

For output processing, Ling 3.0 Flash Fin ($0.18/1M tokens) is 6.7x cheaper than MiniMax M2 ($1.20/1M tokens).

In conclusion, MiniMax M2 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
Sun Sep 20 2026 • llm-stats.com
InclusionAI
Ling 3.0 Flash Fin
Input tokens$0.06
Output tokens$0.18
Best providerDeepinfra
MiniMax
MiniMax M2
Input tokens$0.30
Output tokens$1.20
Best providerMiniMax
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

106.0B diff

MiniMax M2 has 106.0B more parameters than Ling 3.0 Flash Fin, making it 85.5% larger.

InclusionAI
Ling 3.0 Flash Fin
124.0Bparameters
MiniMax
MiniMax M2
230.0Bparameters
124.0B
Ling 3.0 Flash Fin
230.0B
MiniMax M2

Context Window

Maximum input and output token capacity

MiniMax M2 accepts 1,000,000 input tokens compared to Ling 3.0 Flash Fin's 262,144 tokens. MiniMax M2 can generate longer responses up to 1,000,000 tokens, while Ling 3.0 Flash Fin is limited to 262,144 tokens.

InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
MiniMax
MiniMax M2
Input1,000,000 tokens
Output1,000,000 tokens
Sun Sep 20 2026 • llm-stats.com

Release Timeline

When each model was launched

Ling 3.0 Flash Fin was released on 2026-09-03, while MiniMax M2 was released on 2025-10-27.

Ling 3.0 Flash Fin is 10 months newer than MiniMax M2.

Ling 3.0 Flash Fin

Sep 3, 2026

2 weeks ago

10mo newer
MiniMax M2

Oct 27, 2025

10 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. MiniMax M2 is available from MiniMax, Novita.

Ling 3.0 Flash Fin

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

MiniMax M2

minimax logo
MiniMax
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* 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 MiniMax M2 side-by-side, then vote on the output you prefer.

Ling 3.0 Flash Fin
✓ Preferred
MiniMax M2
Open in Playground

FAQ

Common questions about Ling 3.0 Flash Fin vs MiniMax M2.

Which is better, Ling 3.0 Flash Fin or MiniMax M2?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.0 to 26.9. Ling 3.0 Flash Fin is made by InclusionAI and MiniMax M2 is made by MiniMax. 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 MiniMax M2 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%. MiniMax M2 scores Tau2 Telecom: 87.0%, LiveCodeBench: 83.0%, MMLU-Pro: 82.0%, AIME 2025: 78.0%, GPQA: 78.0%.

Is Ling 3.0 Flash Fin cheaper than MiniMax M2?

Ling 3.0 Flash Fin is 5.0x cheaper for input tokens. Ling 3.0 Flash Fin costs $0.06/M input and $0.18/M output via deepinfra. MiniMax M2 costs $0.30/M input and $1.20/M output via minimax.

What are the context window sizes for Ling 3.0 Flash Fin and MiniMax M2?

Ling 3.0 Flash Fin supports 262K tokens and MiniMax M2 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 MiniMax M2?

Key differences include LLM Stats Score (43.0 vs 26.9), context window (262K vs 1.0M), input pricing ($0.06 vs $0.30/M), licensing (Unknown vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Ling 3.0 Flash Fin and MiniMax M2?

Ling 3.0 Flash Fin is developed by InclusionAI and MiniMax M2 is developed by MiniMax.

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