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Inkling 2 Small vs Sarvam-105B

Inkling 2 Small leads the LLM Stats Score 47.2 to 24.8.

Thinking Machines Lab · Sarvam AI · Updated for 2026

Which is better?

Inkling 2 Small leads the overall LLM Stats Score 47.2 to 24.8, ranking #40 overall.

In the 4 individual benchmarks reported for both models, Inkling 2 Small wins 4; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Inkling 2 Small

  • overall performance matters — it scores 47.2 and ranks #40 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 4 of 4 exact shared results
  • you want the most recent training data — it shipped Nov 2026

Choose Sarvam-105B

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

At a glance

The differences that matter most.

Core performance indexes
47.2
#40
24.8
#200
48.0
#26
25.3
#191
36.1
#32
-2.0
#291
32.9
#39
3.9
#195
Cost, coverage & limits
Benchmark wins
4 of 4
0 of 4
Input price
$0.30 / M
— / M
Output price
$1.00 / M
— / M
Context window
256,000
—

Individual benchmarks

11 reported for Inkling 2 Small · 14 for Sarvam-105B

4 shared

Inkling 2 Small outperforms in 4 benchmarks (BrowseComp, GPQA, Humanity's Last Exam, SWE-Bench Verified), while Sarvam-105B is better at 0 benchmarks.

Inkling 2 Small significantly outperforms across most benchmarks.

Fri Nov 13 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

489.0B diff

Inkling 2 Small has 489.0B more parameters than Sarvam-105B, making it 465.7% larger.

Thinking Machines Lab
Inkling 2 Small
594.0Bparameters
Sarvam AI
Sarvam-105B
105.0Bparameters
594.0B
Inkling 2 Small
105.0B
Sarvam-105B

Context Window

Maximum input and output token capacity

Only Inkling 2 Small specifies input context (256,000 tokens).

Thinking Machines Lab
Inkling 2 Small
Input256,000 tokens
Output- tokens
Sarvam AI
Sarvam-105B
Input- tokens
Output- tokens
Fri Nov 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Inkling 2 Small supports multimodal inputs, whereas Sarvam-105B does not.

Inkling 2 Small can handle both text and other forms of data like images, making it suitable for multimodal applications.

Inkling 2 Small

Text
Images
Audio
Video

Sarvam-105B

Text
Images
Audio
Video

License

Usage and distribution terms

Inkling 2 Small is licensed under a proprietary license, while Sarvam-105B uses Apache 2.0.

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

Inkling 2 Small

Proprietary

Closed source

Sarvam-105B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Inkling 2 Small was released on 2026-11-05, while Sarvam-105B was released on 2026-03-06.

Inkling 2 Small is 8 months newer than Sarvam-105B.

Inkling 2 Small

Nov 5, 2026

1 weeks ago

8mo newer
Sarvam-105B

Mar 6, 2026

8 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

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Inkling 2 Small and Sarvam-105B side-by-side, then vote on the output you prefer.

Inkling 2 Small
✓ Preferred
Sarvam-105B
Open in Playground

FAQ

Common questions about Inkling 2 Small vs Sarvam-105B.

Which is better, Inkling 2 Small or Sarvam-105B?

Inkling 2 Small leads the LLM Stats Score 47.2 to 24.8. Inkling 2 Small is made by Thinking Machines Lab and Sarvam-105B is made by Sarvam AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Inkling 2 Small compare to Sarvam-105B in benchmarks?

Inkling 2 Small scores GPQA: 93.0%, BrowseComp: 90.2%, CharXiv-R: 85.6%, MCP Atlas: 85.0%, SWE-Bench Verified: 82.2%. Sarvam-105B scores MATH-500: 98.6%, AIME 2025: 96.7%, MMLU: 90.6%, HMMT 2025: 85.8%, HMMT25: 85.8%.

What are the context window sizes for Inkling 2 Small and Sarvam-105B?

Inkling 2 Small supports 256K tokens and Sarvam-105B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Inkling 2 Small and Sarvam-105B?

Key differences include LLM Stats Score (47.2 vs 24.8), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Inkling 2 Small and Sarvam-105B?

Inkling 2 Small is developed by Thinking Machines Lab and Sarvam-105B is developed by Sarvam AI.