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Kimi K2 Instruct vs Ling 3.0 Flash Fin

Ling 3.0 Flash Fin leads the LLM Stats Score 43.0 to 21.9. Ling 3.0 Flash Fin is 5.6x cheaper per token.

Moonshot AI · InclusionAI · Updated for 2026

Which is better?

Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.0 to 21.9, ranking #44 overall.

On price, Ling 3.0 Flash Fin is roughly 5.6x 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 Kimi K2 Instruct

  • you need open weights you can self-host or fine-tune

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 5.6x 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

At a glance

The differences that matter most.

Kimi K2 Instruct
Moonshot AI
Ling 3.0 Flash Fin
InclusionAI
Core performance indexes
LLM Stats Score
21.9
#182
43.0
#44
Reasoning
22.0
#172
44.2
#35
Agents
-1.0
#175
29.2
#37
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.50 / M
$0.06 / M
Output price
$0.50 / M
$0.18 / M
Context window
200,000
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Kimi K2 Instruct
Ling 3.0 Flash Fin
Tool use
6.5#146
20.4#58
Finance
24.0#63
36.7#5
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

38 reported for Kimi K2 Instruct · 6 for Ling 3.0 Flash Fin

No common benchmarks found

Kimi K2 Instruct and Ling 3.0 Flash Findon'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, Kimi K2 Instruct ($0.50/1M tokens) is 8.3x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).

For output processing, Kimi K2 Instruct ($0.50/1M tokens) is 2.8x more expensive than Ling 3.0 Flash Fin ($0.18/1M tokens).

In conclusion, Kimi K2 Instruct 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
Wed Sep 16 2026 • llm-stats.com
Moonshot AI
Kimi K2 Instruct
Input tokens$0.50
Output tokens$0.50
Best providerFireworks
InclusionAI
Ling 3.0 Flash Fin
Input tokens$0.06
Output tokens$0.18
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

876.0B diff

Kimi K2 Instruct has 876.0B more parameters than Ling 3.0 Flash Fin, making it 706.5% larger.

Moonshot AI
Kimi K2 Instruct
1.0Tparameters
InclusionAI
Ling 3.0 Flash Fin
124.0Bparameters
1000.0B
Kimi K2 Instruct
124.0B
Ling 3.0 Flash Fin

Context Window

Maximum input and output token capacity

Ling 3.0 Flash Fin accepts 262,144 input tokens compared to Kimi K2 Instruct's 200,000 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while Kimi K2 Instruct is limited to 200,000 tokens.

Moonshot AI
Kimi K2 Instruct
Input200,000 tokens
Output200,000 tokens
InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
Wed Sep 16 2026 • llm-stats.com

Release Timeline

When each model was launched

Kimi K2 Instruct was released on 2025-07-11, while Ling 3.0 Flash Fin was released on 2026-09-03.

Ling 3.0 Flash Fin is 14 months newer than Kimi K2 Instruct.

Kimi K2 Instruct

Jul 11, 2025

1.2 years ago

Ling 3.0 Flash Fin

Sep 3, 2026

1 weeks ago

1.1yr newer

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

Kimi K2 Instruct is available from Fireworks, Novita. Ling 3.0 Flash Fin is available from DeepInfra.

Kimi K2 Instruct

fireworks logo
Fireworks
Input Price:Input: $0.50/1MOutput Price:Output: $0.50/1M
novita logo
Novita
Input Price:Input: $0.57/1MOutput Price:Output: $2.30/1M

Ling 3.0 Flash Fin

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.18/1M
* 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 Kimi K2 Instruct and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.

Kimi K2 Instruct
✓ Preferred
Ling 3.0 Flash Fin
Open in Playground

FAQ

Common questions about Kimi K2 Instruct vs Ling 3.0 Flash Fin.

Which is better, Kimi K2 Instruct or Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.0 to 21.9. Kimi K2 Instruct is made by Moonshot AI and Ling 3.0 Flash Fin is made by InclusionAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Kimi K2 Instruct compare to Ling 3.0 Flash Fin in benchmarks?

Kimi K2 Instruct scores MATH-500: 97.4%, GSM8k: 97.3%, CBNSL: 95.6%, HumanEval: 93.3%, MMLU-Redux: 92.7%. 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%.

Is Kimi K2 Instruct cheaper than Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin is 8.3x cheaper for input tokens. Kimi K2 Instruct costs $0.50/M input and $0.50/M output via fireworks. Ling 3.0 Flash Fin costs $0.06/M input and $0.18/M output via deepinfra.

What are the context window sizes for Kimi K2 Instruct and Ling 3.0 Flash Fin?

Kimi K2 Instruct supports 200K tokens and Ling 3.0 Flash Fin supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Kimi K2 Instruct and Ling 3.0 Flash Fin?

Key differences include LLM Stats Score (21.9 vs 43.0), context window (200K vs 262K), input pricing ($0.50 vs $0.06/M), licensing (MIT vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2 Instruct and Ling 3.0 Flash Fin?

Kimi K2 Instruct is developed by Moonshot AI and Ling 3.0 Flash Fin is developed by InclusionAI.

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