Mistral Large vs Grok 4.6
| Signal | Mistral Large | Delta | Grok 4.6 |
|---|---|---|---|
Capabilities | 50 | -50 | |
Benchmarks | 68 | -18 | |
Pricing | 94 | -- | |
Context window size | 81 | -9 | |
Recency | 0 | -100 | |
Output Capacity | 80 | -10 | |
| Overall Result | 0 wins | of 6 | 5 wins |
Score History
65.9
current score
Grok 4.6
right now
88.8
current score
Mistral Large
Mistral AI
Grok 4.6
xAI
| Metric | Mistral Large | Grok 4.6 | Winner |
|---|---|---|---|
| Overall Score | 66 | 89 | Grok 4.6 |
| Rank | #191 | #44 | Grok 4.6 |
| Quality Rank | #191 | #44 | Grok 4.6 |
| Adoption Rank | #191 | #44 | Grok 4.6 |
| Parameters | -- | -- | -- |
| Context Window | 128K | 500K | Grok 4.6 |
| Pricing | $2.00/$6.00/M | $2.00/$6.00/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 100 | Grok 4.6 |
| Benchmarks | 68 | 86 | Grok 4.6 |
| Pricing | 94 | 94 | Mistral Large |
| Context window size | 81 | 90 | Grok 4.6 |
| Recency | 0 | 100 | Grok 4.6 |
| Output Capacity | 80 | 90 | Grok 4.6 |
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 66/100 (rank #191), placing it in the top 34% of all 290 models tracked.
Scores 89/100 (rank #44), placing it in the top 85% of all 290 models tracked.
Grok 4.6 has a 23-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose Mistral Large when you need:
- Budget-friendly applications with moderate quality requirements
Choose Grok 4.6 when you need:
- Processing long documents or large codebases (500K token context)
- Multimodal workflows that require image understanding
- Step-by-step reasoning and chain-of-thought problem solving
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
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 (500K 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 (89/100) 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
Grok 4.6 clearly outperforms Mistral Large with a significant 22.89999999999999-point lead. For most general use cases, Grok 4.6 is the stronger choice. However, Mistral Large may still excel in niche scenarios.
By Use Case
Best for Quality
Mistral Large
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Large
0% lower pricing; better value at scale
Best for Reliability
Mistral Large
Higher uptime and faster response speeds
Best for Prototyping
Mistral Large
Stronger community support and better developer experience
Best for Production
Mistral Large
Wider enterprise adoption and proven at scale
by Mistral AI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 0% 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 | Mistral Large | Grok 4.6 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
Mistral Large
Mistral AI
Grok 4.6
xAI
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Mistral Large | Grok 4.6 |
|---|---|---|
| Context Window | 128K | 500K |
| Max Output Tokens | 102,400 | 450,000 |
| Open Source | No | No |
| Created | Feb 26, 2024 | Aug 12, 2026 |