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Inkling-Small vs MiMo-V2.6-Flash

MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to 38.4. MiMo-V2.6-Flash is 3.0x cheaper per token.

Thinking Machines Lab · Xiaomi · Updated for 2026

Which is better?

MiMo-V2.6-Flash leads the overall LLM Stats Score 45.6 to 38.4, ranking #29 overall.

In the 1 individual benchmarks reported for both models, MiMo-V2.6-Flash wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, MiMo-V2.6-Flash is roughly 3.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

MiMo-V2.6-Flash also accepts a larger context window (1,048,576 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 Inkling-Small

  • you want predictable pricing at $0.30/M input and $1.20/M output

Choose MiMo-V2.6-Flash

  • overall performance matters — it scores 45.6 and ranks #29 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 3.0x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Inkling-Small
Thinking Machines Lab
MiMo-V2.6-Flash
Xiaomi
Core performance indexes
LLM Stats Score
38.4
#68
45.6
#29
Reasoning
38.0
#65
42.5
#45
Coding
29.2
#58
36.7
#21
Agents
23.4
#60
33.1
#26
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.30 / M
$0.14 / M
Output price
$1.20 / M
$0.28 / M
Context window
256,000
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Inkling-Small
MiMo-V2.6-Flash
Tool use
19.1#62
24.7#29
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

24 reported for Inkling-Small · 16 for MiMo-V2.6-Flash

1 shared

Inkling-Small outperforms in 0 benchmarks, while MiMo-V2.6-Flash is better at 1 benchmark (Terminal-Bench 2.1).

MiMo-V2.6-Flash significantly outperforms across most benchmarks.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

MiMo-V2.6-Flash costs less

For input processing, Inkling-Small ($0.30/1M tokens) is 2.1x more expensive than MiMo-V2.6-Flash ($0.14/1M tokens).

For output processing, Inkling-Small ($1.20/1M tokens) is 4.3x more expensive than MiMo-V2.6-Flash ($0.28/1M tokens).

In conclusion, Inkling-Small is more expensive than MiMo-V2.6-Flash.*

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

Lowest available price from all providers
Tue Sep 22 2026 • llm-stats.com
Thinking Machines Lab
Inkling-Small
Input tokens$0.30
Output tokens$1.20
Best providerUnknown Organization
Xiaomi
MiMo-V2.6-Flash
Input tokens$0.14
Output tokens$0.28
Best providerXiaomi
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

33.0B diff

MiMo-V2.6-Flash has 33.0B more parameters than Inkling-Small, making it 12.0% larger.

Thinking Machines Lab
Inkling-Small
276.0Bparameters
Xiaomi
MiMo-V2.6-Flash
309.0Bparameters
276.0B
Inkling-Small
309.0B
MiMo-V2.6-Flash

Context Window

Maximum input and output token capacity

MiMo-V2.6-Flash accepts 1,048,576 input tokens compared to Inkling-Small's 256,000 tokens. Only Inkling-Small specifies output context (256,000 tokens).

Thinking Machines Lab
Inkling-Small
Input256,000 tokens
Output256,000 tokens
Xiaomi
MiMo-V2.6-Flash
Input1,048,576 tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Inkling-Small and MiMo-V2.6-Flash support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Inkling-Small

Text
Images
Audio
Video

MiMo-V2.6-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Inkling-Small is licensed under Apache 2.0, while MiMo-V2.6-Flash uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Inkling-Small

Apache 2.0

Open weights

MiMo-V2.6-Flash

MIT

Open weights

Release Timeline

When each model was launched

Inkling-Small was released on 2026-07-30, while MiMo-V2.6-Flash was released on 2026-09-22.

MiMo-V2.6-Flash is 2 months newer than Inkling-Small.

Inkling-Small

Jul 30, 2026

1 months ago

MiMo-V2.6-Flash

Sep 22, 2026

0 days ago

1mo 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

Inkling-Small is available from Thinking Machines Lab, DeepInfra. MiMo-V2.6-Flash is available from Xiaomi.

Inkling-Small

thinking-machines logo
Unknown Organization
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.45/1MOutput Price:Output: $1.20/1M

MiMo-V2.6-Flash

xiaomi logo
Xiaomi
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
* 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 Inkling-Small and MiMo-V2.6-Flash side-by-side, then vote on the output you prefer.

Inkling-Small
✓ Preferred
MiMo-V2.6-Flash
Open in Playground

FAQ

Common questions about Inkling-Small vs MiMo-V2.6-Flash.

Which is better, Inkling-Small or MiMo-V2.6-Flash?

MiMo-V2.6-Flash leads the LLM Stats Score 45.6 to 38.4. Inkling-Small is made by Thinking Machines Lab and MiMo-V2.6-Flash is made by Xiaomi. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Inkling-Small compare to MiMo-V2.6-Flash in benchmarks?

Inkling-Small scores AIME 2026: 95.5%, VoiceBench Avg: 90.1%, GPQA: 89.5%, Global-MMLU-Lite: 86.7%, ARC-AGI: 84.0%. MiMo-V2.6-Flash scores CyberGym: 95.1%, Terminal-Bench 2.1: 87.6%, OSWorld-Verified: 80.8%, MiMo Cyber Bench: 77.2%, Toolathlon-Verified: 73.6%.

Is Inkling-Small cheaper than MiMo-V2.6-Flash?

MiMo-V2.6-Flash is 2.1x cheaper for input tokens. Inkling-Small costs $0.30/M input and $1.20/M output via thinking-machines. MiMo-V2.6-Flash costs $0.14/M input and $0.28/M output via xiaomi.

What are the context window sizes for Inkling-Small and MiMo-V2.6-Flash?

Inkling-Small supports 256K tokens and MiMo-V2.6-Flash 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 Inkling-Small and MiMo-V2.6-Flash?

Key differences include LLM Stats Score (38.4 vs 45.6), context window (256K vs 1.0M), input pricing ($0.30 vs $0.14/M), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Inkling-Small and MiMo-V2.6-Flash?

Inkling-Small is developed by Thinking Machines Lab and MiMo-V2.6-Flash is developed by Xiaomi.

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