Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Mistral AI

Devstral Medium

Mistral AI

Devstral Medium is a language model developed by Mistral AI. It achieves strong performance with an average score of 61.6% across 1 benchmarks. Notable strengths include SWE-Bench Verified (61.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

NVIDIA

Llama 3.1 Nemotron Ultra 253B v1

NVIDIA

Llama 3.1 Nemotron Ultra 253B v1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 79.2% across 6 benchmarks. It excels particularly in MATH-500 (97.0%), IFEval (89.5%), GPQA (76.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.

NVIDIA

Llama 3.1 Nemotron Ultra 253B v1

NVIDIA

2025-04-07

Mistral AI

Devstral Medium

Mistral AI

2025-07-10

3 months newer

Performance Metrics

Context window and performance specifications

Mistral AI

Devstral Medium

Larger context
Max Context:256.0K
NVIDIA

Llama 3.1 Nemotron Ultra 253B v1

Max Context:-
Parameters:253.0B

Performance comparison across key benchmark categories

Mistral AI

Devstral Medium

general
61.6%
NVIDIA

Llama 3.1 Nemotron Ultra 253B v1

general
+12.6%
74.2%
Knowledge Cutoff
Training data recency comparison

Llama 3.1 Nemotron Ultra 253B v1

2023-12-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Mistral AI

Devstral Medium

1 providers

Mistral AI

Throughput: 137.1 tok/s
Latency: 0.23ms
NVIDIA

Llama 3.1 Nemotron Ultra 253B v1

0 providers
Mistral AI

Devstral Medium

Avg Score:0.0%
Providers:1
NVIDIA

Llama 3.1 Nemotron Ultra 253B v1

Avg Score:0.0%
Providers:0