+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Devstral Medium vs Gemini 1.0 Pro
Comprehensive side-by-side LLM comparison
Gemini 1.0 Pro leads with 37.4% higher average benchmark score. Devstral Medium offers 215.0K more tokens in context window than Gemini 1.0 Pro. Both models have similar pricing. Overall, Gemini 1.0 Pro is the stronger choice for coding tasks.
+
+
+
+
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.
+
+
+
+
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.
1 year newer
Gemini 1.0 Pro
2024-02-15
Devstral Medium
Mistral AI
2025-07-10
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Devstral Medium
Input:$0.40
Output:$2.00
+
+
+
+
Gemini 1.0 Pro
Input:$0.50
Output:$1.50($0.40 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 10 common benchmarks
+
+
+
+
Devstral Medium
Average Score:6.2%
+
+
+
+
Gemini 1.0 Pro
Average Score:43.6%(+37.4%)
+
+
+
+
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
+
+
+
+
Devstral Medium
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
+
+
+
+
Gemini 1.0 Pro
+
+
+
+
Devstral Medium
Avg Score:6.2%
Providers:1
+
+
+
+
Gemini 1.0 Pro
Avg Score:43.6%(+37.4%)
Providers:1