Mistral Large 4 vs GLM 5.1
| Signal | Mistral Large 4 | Delta | GLM 5.1 |
|---|---|---|---|
Capabilities | 83 | +17 | |
Benchmarks | 68 | -1 | |
Pricing | 98 | +1 | |
Context window size | 96 | +11 | |
Recency | 100 | +2 | |
Output Capacity | 87 | +5 | |
| Overall Result | 5 wins | of 6 | 1 wins |
Score History
68.3
current score
Tied
right now
68.3
current score
Mistral Large 4
Mistral AI
GLM 5.1
Zhipu AI
Mistral Large 4 saves you $75.90/month
That's $910.80/year compared to GLM 5.1 at your current usage level of 100K calls/month.
| Metric | Mistral Large 4 | GLM 5.1 | Winner |
|---|---|---|---|
| Overall Score | 68 | 68 | -- |
| Rank | #143 | #144 | Mistral Large 4 |
| Quality Rank | #143 | #144 | Mistral Large 4 |
| Adoption Rank | #143 | #144 | Mistral Large 4 |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 205K | Mistral Large 4 |
| Pricing | $0.68/$2.09/M | $0.97/$3.04/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 67 | Mistral Large 4 |
| Benchmarks | 68 | 69 | GLM 5.1 |
| Pricing | 98 | 97 | Mistral Large 4 |
| Context window size | 96 | 84 | Mistral Large 4 |
| Recency | 100 | 98 | Mistral Large 4 |
| Output Capacity | 87 | 82 | Mistral Large 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 68/100 (rank #143), placing it in the top 51% of all 290 models tracked.
Scores 68/100 (rank #144), placing it in the top 51% 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.
Choose Mistral Large 4 when you need:
- High-volume production workloads where API costs must be minimized
- Processing long documents or large codebases (1049K token context)
- Multimodal workflows that require image understanding
- Step-by-step reasoning and chain-of-thought problem solving
Choose GLM 5.1 when you need:
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
Mistral Large 4 offers 31% better value per quality point. At 1M tokens/day, you'd spend $41.55/month with Mistral Large 4 vs $60.03/month with GLM 5.1 - a $18.48 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 4 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($2.09/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (68/100) 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 4 and GLM 5.1 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.
By Use Case
Best for Quality
Mistral Large 4
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Large 4
31% lower pricing; better value at scale
Best for Reliability
Mistral Large 4
Higher uptime and faster response speeds
Best for Prototyping
Mistral Large 4
Stronger community support and better developer experience
Best for Production
Mistral Large 4
Wider enterprise adoption and proven at scale
by Mistral AI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 31% 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 4 | GLM 5.1 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Mistral Large 4
Mistral AI
GLM 5.1
Zhipu AI
Mistral Large 4 saves you $1.65/month
That's 31% cheaper than GLM 5.1 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 | Mistral Large 4 | GLM 5.1 |
|---|---|---|
| Context Window | 1.0M | 205K |
| Max Output Tokens | 262,144 | 128,000 |
| Open Source | No | Yes |
| Created | Oct 6, 2026 | Apr 7, 2026 |