GPT-5.1 Codex High vs Sarvam-105B
GPT-5.1 Codex High leads the LLM Stats Score 29.4 to 25.7.
OpenAI · Sarvam AI · Updated for 2026
Which is better?
GPT-5.1 Codex High leads the overall LLM Stats Score 29.4 to 25.7, ranking #128 overall.
In the 1 individual benchmarks reported for both models, Sarvam-105B wins 1; 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 GPT-5.1 Codex High
- overall performance matters — it scores 29.4 and ranks #128 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
Choose Sarvam-105B
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Mar 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
1 reported for GPT-5.1 Codex High · 14 for Sarvam-105B
GPT-5.1 Codex High outperforms in 0 benchmarks, while Sarvam-105B is better at 0 benchmarks.
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only GPT-5.1 Codex High specifies input context (400,000 tokens). Only GPT-5.1 Codex High specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
GPT-5.1 Codex High supports multimodal inputs, whereas Sarvam-105B does not.
GPT-5.1 Codex High can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5.1 Codex High
Sarvam-105B
License
Usage and distribution terms
GPT-5.1 Codex High 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.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-5.1 Codex High was released on 2025-11-12, while Sarvam-105B was released on 2026-03-06.
Sarvam-105B is 4 months newer than GPT-5.1 Codex High.
Nov 12, 2025
10 months ago
Mar 6, 2026
6 months ago
3mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.1 Codex High and Sarvam-105B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.1 Codex High vs Sarvam-105B.