GPT-4o
GPT-4o is the safest overall answer here when you want the strongest default instead of the lowest list price.
- Best for
- Multimodal tasks and image-adjacent workflows
- Price
- $0.15/1M
- Context
- 128k tokens
Mistral Large 2 wins on coding (72 vs 58) and price ($3 vs $5/1M input). For most workflows, GPT-4o is the stronger default — best all-around pick for image-heavy and multimodal workflows.
The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.
GPT-4o is the safest overall answer here when you want the strongest default instead of the lowest list price.
Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.
Mistral / Balanced / Mar 27, 2026
Best balanced generalist for EU teams with data residency needs.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You want best-in-class performance for any specific use case — the frontier leaders win.
The fastest way to see where the recommendation shifts when your priority changes.
Strong multimodal understanding across images, audio, and text
Good balance between speed and overall quality
Reliable for teams that mix content types regularly
Outclassed by newer models on pure coding and reasoning
Gemini 3.1 Pro now handles multimodal at a lower price
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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GPT-4o wins on more categories — images, writing, multimodal. Mistral Large 2 is the better pick when balanced team usage with eu data residency requirements. The right choice depends on your specific use case.
Mistral Large 2 is cheaper at $3/1M input and $9/1M output. GPT-4o costs $5/1M input and $15/1M output.
Both GPT-4o and Mistral Large 2 have the same 128K context window.
Mistral Large 2 is better for coding with a score of 72 vs GPT-4o's 58. For the highest coding quality available, Claude Sonnet 4.6 (79.6% SWE-bench) or Opus 4.6 (80.8%) remain benchmarks.
GPT-4o is faster with a fast speed rating (score: 4) vs Mistral Large 2's balanced rating (score: 3).
Google: Nano Banana (Gemini 2.5 Flash Image) is the lower-cost option to start with when you still need useful output at scale.
Mistral Large 2 is the better pick when response speed matters more than maximum reasoning depth.
Mistral Large 2 leads on coding with a score of 72 vs 58 for GPT-4o.
Mistral Large 2 is cheaper at $3/1M input tokens vs $5/1M for GPT-4o.
GPT-4o is the stronger default for images tasks.
Choose GPT-4o for images and writing — multimodal tasks and image-adjacent workflows.
Choose Mistral Large 2 when balanced team usage with eu data residency requirements.
Mistral Large 2 is the more cost-efficient option at $3/1M — worth considering if token volume is a concern.