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.

Google

Gemini 1.0 Pro

Google

Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.

Google

Gemini 1.0 Pro

Google

2024-02-15

Mistral AI

Devstral Medium

Mistral AI

2025-07-10

1 year newer

Pricing Comparison

Cost per million tokens (USD)

Mistral AI

Devstral Medium

Input:$0.40
Output:$2.00
Google

Gemini 1.0 Pro

$0.40 cheaper
Input:$0.50
Output:$1.50

Performance Metrics

Context window and performance specifications

Mistral AI

Devstral Medium

Larger context
Max Context:256.0K
Google

Gemini 1.0 Pro

Max Context:41.0K

Performance comparison across key benchmark categories

Mistral AI

Devstral Medium

general
+10.2%
61.6%
Google

Gemini 1.0 Pro

general
51.4%
Knowledge Cutoff
Training data recency comparison

Gemini 1.0 Pro

2024-02-01

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
Google

Gemini 1.0 Pro

1 providers

Google

Throughput: 120 tok/s
Latency: 0.4ms
Mistral AI

Devstral Medium

Avg Score:0.0%
Providers:1
Google

Gemini 1.0 Pro

Avg Score:0.0%
Providers:1