GPT-4o-mini (batch) vs Mistral Large
| Signal | GPT-4o-mini (batch) | Delta | Mistral Large |
|---|---|---|---|
Capabilities | 83 | +33 | |
Benchmarks | 74 | +6 | |
Pricing | 100 | +6 | |
Context window size | 81 | -- | |
Recency | 0 | -- | |
Output Capacity | 67 | -13 | |
| Overall Result | 3 wins | of 6 | 1 wins |
Score History
62.5
current score
Mistral Large
right now
65.9
current score
GPT-4o-mini (batch)
OpenAI
Mistral Large
Mistral AI
GPT-4o-mini (batch) saves you $477.50/month
That's $5730.00/year compared to Mistral Large at your current usage level of 100K calls/month.
| Metric | GPT-4o-mini (batch) | Mistral Large | Winner |
|---|---|---|---|
| Overall Score | 63 | 66 | Mistral Large |
| Rank | #157 | #146 | Mistral Large |
| Quality Rank | #157 | #146 | Mistral Large |
| Adoption Rank | #157 | #146 | Mistral Large |
| Parameters | -- | -- | -- |
| Context Window | 128K | 128K | -- |
| Pricing | $0.07/$0.30/M | $2.00/$6.00/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 50 | GPT-4o-mini (batch) |
| Benchmarks | 74 | 68 | GPT-4o-mini (batch) |
| Pricing | 100 | 94 | GPT-4o-mini (batch) |
| Context window size | 81 | 81 | GPT-4o-mini (batch) |
| Recency | 0 | 0 | GPT-4o-mini (batch) |
| Output Capacity | 67 | 80 | Mistral Large |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 63/100 (rank #157), placing it in the top 46% of all 290 models tracked.
Scores 66/100 (rank #146), placing it in the top 50% of all 290 models tracked.
With only a 3-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Choose GPT-4o-mini (batch) when you need:
- High-volume production workloads where API costs must be minimized
- Multimodal workflows that require image understanding
Choose Mistral Large when you need:
- Budget-friendly applications with moderate quality requirements
GPT-4o-mini (batch) offers 95% better value per quality point. At 1M tokens/day, you'd spend $5.63/month with GPT-4o-mini (batch) vs $120.00/month with Mistral Large - a $114.38 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. GPT-4o-mini (batch) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (128K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.30/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (66/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Mistral Large has a moderate advantage with a 3.4000000000000057-point lead in composite score. It wins on more signal dimensions, but GPT-4o-mini (batch) has specific strengths that could make it the better choice for certain workflows.
By Use Case
Best for Quality
GPT-4o-mini (batch)
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-4o-mini (batch)
95% lower pricing; better value at scale
Best for Reliability
GPT-4o-mini (batch)
Higher uptime and faster response speeds
Best for Prototyping
GPT-4o-mini (batch)
Stronger community support and better developer experience
Best for Production
GPT-4o-mini (batch)
Wider enterprise adoption and proven at scale
by OpenAI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 95% lower pricing; better value at scale
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | GPT-4o-mini (batch) | Mistral Large |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
GPT-4o-mini (batch)
OpenAI
Mistral Large
Mistral AI
GPT-4o-mini (batch) saves you $10.31/month
That's 95% cheaper than Mistral Large at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | GPT-4o-mini (batch) | Mistral Large |
|---|---|---|
| Context Window | 128K | 128K |
| Max Output Tokens | 16,384 | 102,400 |
| Open Source | No | No |
| Created | Jul 18, 2024 | Feb 26, 2024 |