| Signal | GPT-5.4 | Delta | Mistral Large |
|---|---|---|---|
Capabilities | 100 | +50 | |
Benchmarks | 90 | +22 | |
Pricing | 85 | -9 | |
Context window size | 96 | +15 | |
Recency | 100 | +100 | |
Output Capacity | 85 | +65 | |
| Overall Result | 5 wins | of 6 | 1 wins |
Score History
91.9
current score
GPT-5.4
right now
65.9
current score
OpenAI
Mistral AI
Mistral Large saves you $500.00/month
That's $6000.00/year compared to GPT-5.4 at your current usage level of 100K calls/month.
| Metric | GPT-5.4 | Mistral Large | Winner |
|---|---|---|---|
| Overall Score | 92 | 66 | GPT-5.4 |
| Rank | #2 | #123 | GPT-5.4 |
| Quality Rank | #2 | #123 | GPT-5.4 |
| Adoption Rank | #2 | #123 | GPT-5.4 |
| Parameters | -- | -- | -- |
| Context Window | 1050K | 128K | GPT-5.4 |
| Pricing | $2.50/$15.00/M | $2.00/$6.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 50 | GPT-5.4 |
| Benchmarks | 90 | 68 | GPT-5.4 |
| Pricing | 85 | 94 | Mistral Large |
| Context window size | 96 | 81 | GPT-5.4 |
| Recency | 100 | 0 | GPT-5.4 |
| Output Capacity | 85 | 20 | GPT-5.4 |
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 92/100 (rank #2), placing it in the top 100% of all 290 models tracked.
Scores 66/100 (rank #123), placing it in the top 58% of all 290 models tracked.
GPT-5.4 has a 26-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Mistral Large offers 54% better value per quality point. At 1M tokens/day, you'd spend $120.00/month with Mistral Large vs $262.50/month with GPT-5.4 - a $142.50 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 Large also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($6.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (92/100) 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-5.4 clearly outperforms Mistral Large with a significant 26-point lead. For most general use cases, GPT-5.4 is the stronger choice. However, Mistral Large may still excel in niche scenarios.
Best for Quality
GPT-5.4
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Large
54% lower pricing; better value at scale
Best for Reliability
GPT-5.4
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.4
Stronger community support and better developer experience
Best for Production
GPT-5.4
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.4 | Mistral Large |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Mistral AI
Mistral Large saves you $11.70/month
That's 52% cheaper than GPT-5.4 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-5.4 | Mistral Large |
|---|---|---|
| Context Window | 1.1M | 128K |
| Max Output Tokens | 128,000 | -- |
| Open Source | No | No |
| Created | Mar 5, 2026 | Feb 26, 2024 |