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Ling 3.0 Flash Fin vs MiniMax M2.7

Ling 3.0 Flash Fin leads the LLM Stats Score 43.0 to 35.5. 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 35.5, ranking #44 overall.

In the 1 individual benchmarks reported for both models, Ling 3.0 Flash Fin wins 1; this is a narrower head-to-head signal than the composite indexes.

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.

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

  • overall performance matters — it scores 43.0 and ranks #44 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • cost matters — it's about 5.8x 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 MiniMax M2.7

  • 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 M2.7
MiniMax
Core performance indexes
LLM Stats Score
43.0
#44
35.5
#85
Reasoning
44.2
#35
34.8
#84
Agents
29.2
#37
15.9
#81
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.06 / M
$0.30 / M
Output price
$0.18 / M
$1.20 / M
Context window
262,144
196,608

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ling 3.0 Flash Fin
MiniMax M2.7
Tool use
20.4#58
15.6#89
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Ling 3.0 Flash Fin · 11 for MiniMax M2.7

1 shared

Ling 3.0 Flash Fin outperforms in 1 benchmarks (Finance Agent v2), while MiniMax M2.7 is better at 0 benchmarks.

Ling 3.0 Flash Fin significantly outperforms across most benchmarks.

Mon Sep 21 2026 • llm-stats.com

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 M2.7 ($0.30/1M tokens).

For output processing, Ling 3.0 Flash Fin ($0.18/1M tokens) is 6.7x cheaper than MiniMax M2.7 ($1.20/1M tokens).

In conclusion, MiniMax M2.7 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
Mon Sep 21 2026 • llm-stats.com
InclusionAI
Ling 3.0 Flash Fin
Input tokens$0.06
Output tokens$0.18
Best providerDeepinfra
MiniMax
MiniMax M2.7
Input tokens$0.30
Output tokens$1.20
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Ling 3.0 Flash Fin accepts 262,144 input tokens compared to MiniMax M2.7's 196,608 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while MiniMax M2.7 is limited to 196,608 tokens.

InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
MiniMax
MiniMax M2.7
Input196,608 tokens
Output196,608 tokens
Mon Sep 21 2026 • llm-stats.com

Release Timeline

When each model was launched

Ling 3.0 Flash Fin was released on 2026-09-03, while MiniMax M2.7 was released on 2026-03-18.

Ling 3.0 Flash Fin is 6 months newer than MiniMax M2.7.

Ling 3.0 Flash Fin

Sep 3, 2026

2 weeks ago

5mo newer
MiniMax M2.7

Mar 18, 2026

6 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 M2.7 is available from Fireworks, MiniMax, Novita, DeepInfra.

Ling 3.0 Flash Fin

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

MiniMax M2.7

fireworks logo
Fireworks
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
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
deepinfra logo
Deepinfra
Input Price:Input: $0.38/1MOutput Price:Output: $1.70/1M
* 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 M2.7 side-by-side, then vote on the output you prefer.

Ling 3.0 Flash Fin
✓ Preferred
MiniMax M2.7
Open in Playground

FAQ

Common questions about Ling 3.0 Flash Fin vs MiniMax M2.7.

Which is better, Ling 3.0 Flash Fin or MiniMax M2.7?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.0 to 35.5. Ling 3.0 Flash Fin is made by InclusionAI and MiniMax M2.7 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 M2.7 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 M2.7 scores SWE-bench Multilingual: 76.5%, MLE-Bench Lite: 66.6%, MM-ClawBench: 62.7%, Terminal-Bench 2.0: 57.0%, SWE-Bench Pro: 56.2%.

Is Ling 3.0 Flash Fin cheaper than MiniMax M2.7?

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 M2.7 costs $0.30/M input and $1.20/M output via fireworks.

What are the context window sizes for Ling 3.0 Flash Fin and MiniMax M2.7?

Ling 3.0 Flash Fin supports 262K tokens and MiniMax M2.7 supports 197K 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 M2.7?

Key differences include LLM Stats Score (43.0 vs 35.5), context window (262K vs 197K), 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 M2.7?

Ling 3.0 Flash Fin is developed by InclusionAI and MiniMax M2.7 is developed by MiniMax.

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