| Signal | GPT Chat Latest | Delta | Mistral Small 4 |
|---|---|---|---|
Capabilities | 83 | -- | |
Pricing | 70 | -29 | |
Context window size | 80 | +3 | |
Recency | 100 | -- | |
Output Capacity | 85 | +65 | |
| Overall Result | 2 wins | of 5 | 1 wins |
Score History
40
current score
Tied
right now
40
current score
OpenAI
Mistral AI
Mistral Small 4 saves you $1955.00/month
That's $23460.00/year compared to GPT Chat Latest at your current usage level of 100K calls/month.
| Metric | GPT Chat Latest | Mistral Small 4 | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #182 | #207 | GPT Chat Latest |
| Quality Rank | #182 | #207 | GPT Chat Latest |
| Adoption Rank | #182 | #207 | GPT Chat Latest |
| Parameters | -- | -- | -- |
| Context Window | 400K | 262K | GPT Chat Latest |
| Pricing | $5.00/$30.00/M | $0.15/$0.60/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 83 | GPT Chat Latest |
| Pricing | 70 | 99 | Mistral Small 4 |
| Context window size | 80 | 77 | GPT Chat Latest |
| Recency | 100 | 100 | GPT Chat Latest |
| Output Capacity | 85 | 20 | GPT Chat Latest |
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 40/100 (rank #182), placing it in the top 38% of all 290 models tracked.
Scores 40/100 (rank #207), placing it in the top 29% of all 290 models tracked.
With only a 0-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.
Mistral Small 4 offers 98% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with Mistral Small 4 vs $525.00/month with GPT Chat Latest - a $513.75 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. Mistral Small 4 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (400K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) 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
GPT Chat Latest and Mistral Small 4 are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT Chat Latest
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Small 4
98% lower pricing; better value at scale
Best for Reliability
GPT Chat Latest
Higher uptime and faster response speeds
Best for Prototyping
GPT Chat Latest
Stronger community support and better developer experience
Best for Production
GPT Chat Latest
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT Chat Latest | Mistral Small 4 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Mistral AI
Mistral Small 4 saves you $44.01/month
That's 98% cheaper than GPT Chat Latest 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 Chat Latest | Mistral Small 4 |
|---|---|---|
| Context Window | 400K | 262K |
| Max Output Tokens | 128,000 | -- |
| Open Source | No | Yes |
| Created | May 5, 2026 | Mar 16, 2026 |