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Inkling vs Mistral Large 4

Mistral Large 4 leads the LLM Stats Score 46.2 to 37.1. Mistral Large 4 is 1.7x cheaper per token.

Thinking Machines Lab · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 37.1, ranking #34 overall.

On price, Mistral Large 4 is roughly 1.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Mistral Large 4 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 Inkling

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

Choose Mistral Large 4

  • overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • cost matters — it's about 1.7x cheaper per token
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Inkling
Thinking Machines Lab
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
37.1
#81
46.2
#34
Reasoning
36.7
#85
44.0
#43
Coding
26.5
#74
35.8
#27
Agents
19.5
#77
34.3
#26
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.95 / M
$0.68 / M
Output price
$4.05 / M
$2.09 / M
Context window
524,288
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Inkling
Mistral Large 4
Vision
15.7#99
1.1#187
Tool use
16.3#88
27.1#26
Multimodal
19.0#83
1.7#160
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Inkling · 18 for Mistral Large 4

No common benchmarks found

Inkling and Mistral Large 4don'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

Mistral Large 4 costs less

For input processing, Inkling ($0.95/1M tokens) is 1.4x more expensive than Mistral Large 4 ($0.68/1M tokens).

For output processing, Inkling ($4.05/1M tokens) is 1.9x more expensive than Mistral Large 4 ($2.09/1M tokens).

In conclusion, Inkling is more expensive than Mistral Large 4.*

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

Lowest available price from all providers
Thu Oct 08 2026 • llm-stats.com
Thinking Machines Lab
Inkling
Input tokens$0.95
Output tokens$4.05
Best providerDeepinfra
Mistral AI
Mistral Large 4
Input tokens$0.68
Output tokens$2.09
Best providerMistral
Notice missing or incorrect data?

Model Size

Parameter count comparison

75.0B diff

Mistral Large 4 has 75.0B more parameters than Inkling, making it 7.7% larger.

Thinking Machines Lab
Inkling
975.0Bparameters
Mistral AI
Mistral Large 4
1.1Tparameters
975.0B
Inkling
1050.0B
Mistral Large 4

Context Window

Maximum input and output token capacity

Mistral Large 4 accepts 1,000,000 input tokens compared to Inkling's 524,288 tokens. Only Inkling specifies output context (524,288 tokens).

Thinking Machines Lab
Inkling
Input524,288 tokens
Output524,288 tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Inkling and Mistral Large 4 support multimodal inputs.

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

Inkling

Text
Images
Audio
Video

Mistral Large 4

Text
Images
Audio
Video

License

Usage and distribution terms

Inkling is licensed under Apache 2.0, while Mistral Large 4 uses a proprietary license.

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

Inkling

Apache 2.0

Open weights

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

Inkling was released on 2026-07-21, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 3 months newer than Inkling.

Inkling

Jul 21, 2026

2 months ago

Mistral Large 4

Oct 6, 2026

1 days ago

2mo 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 is available from DeepInfra. Mistral Large 4 is available from Mistral AI.

Inkling

deepinfra logo
Deepinfra
Input Price:Input: $0.95/1MOutput Price:Output: $4.05/1M

Mistral Large 4

mistral logo
Mistral
Input Price:Input: $0.68/1MOutput Price:Output: $2.09/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Inkling and Mistral Large 4 side-by-side, then vote on the output you prefer.

Inkling
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about Inkling vs Mistral Large 4.

Which is better, Inkling or Mistral Large 4?

Mistral Large 4 leads the LLM Stats Score 46.2 to 37.1. Inkling is made by Thinking Machines Lab and Mistral Large 4 is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Inkling compare to Mistral Large 4 in benchmarks?

Inkling scores AIME 2026: 97.1%, VoiceBench Avg: 91.4%, Global-MMLU-Lite: 88.7%, IFBench: 79.8%, CharXiv-R: 78.1%. Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

Is Inkling cheaper than Mistral Large 4?

Mistral Large 4 is 1.4x cheaper for input tokens. Inkling costs $0.95/M input and $4.05/M output via deepinfra. Mistral Large 4 costs $0.68/M input and $2.09/M output via mistral.

What are the context window sizes for Inkling and Mistral Large 4?

Inkling supports 524K tokens and Mistral Large 4 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 and Mistral Large 4?

Key differences include LLM Stats Score (37.1 vs 46.2), context window (524K vs 1.0M), input pricing ($0.95 vs $0.68/M), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Inkling and Mistral Large 4?

Inkling is developed by Thinking Machines Lab and Mistral Large 4 is developed by Mistral AI.

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