Mistral Large 4 vs Qwen3.5 Plus 2026-02-15
| Signal | Mistral Large 4 | Delta | Qwen3.5 Plus 2026-02-15 |
|---|---|---|---|
Capabilities | 83 | -- | |
Benchmarks | 68 | +68 | |
Pricing | 98 | 0 | |
Context window size | 91 | -4 | |
Recency | 100 | +10 | |
Output Capacity | 87 | +10 | |
| Overall Result | 3 wins | of 6 | 2 wins |
Score History
68.1
current score
Qwen3.5 Plus 2026-02-15
right now
68.2
current score
Mistral Large 4
Mistral AI
Qwen3.5 Plus 2026-02-15
Alibaba
Qwen3.5 Plus 2026-02-15 saves you $68.50/month
That's $822.00/year compared to Mistral Large 4 at your current usage level of 100K calls/month.
| Metric | Mistral Large 4 | Qwen3.5 Plus 2026-02-15 | Winner |
|---|---|---|---|
| Overall Score | 68 | 68 | Qwen3.5 Plus 2026-02-15 |
| Rank | #180 | #178 | Qwen3.5 Plus 2026-02-15 |
| Quality Rank | #180 | #178 | Qwen3.5 Plus 2026-02-15 |
| Adoption Rank | #180 | #178 | Qwen3.5 Plus 2026-02-15 |
| Parameters | -- | -- | -- |
| Context Window | 524K | 1000K | Qwen3.5 Plus 2026-02-15 |
| Pricing | $0.68/$2.09/M | $0.26/$1.56/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 83 | Mistral Large 4 |
| Benchmarks | 68 | -- | Mistral Large 4 |
| Pricing | 98 | 98 | Qwen3.5 Plus 2026-02-15 |
| Context window size | 91 | 95 | Qwen3.5 Plus 2026-02-15 |
| Recency | 100 | 90 | Mistral Large 4 |
| Output Capacity | 87 | 77 | 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 #180), placing it in the top 38% of all 290 models tracked.
Scores 68/100 (rank #178), placing it in the top 39% 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:
- Step-by-step reasoning and chain-of-thought problem solving
Choose Qwen3.5 Plus 2026-02-15 when you need:
- Processing long documents or large codebases (1000K token context)
- Step-by-step reasoning and chain-of-thought problem solving
Qwen3.5 Plus 2026-02-15 offers 34% better value per quality point. At 1M tokens/day, you'd spend $27.30/month with Qwen3.5 Plus 2026-02-15 vs $41.55/month with Mistral Large 4 - a $14.25 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. Qwen3.5 Plus 2026-02-15 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($1.56/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 Qwen3.5 Plus 2026-02-15 are extremely close in overall performance (only 0.10000000000000853 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
Qwen3.5 Plus 2026-02-15
34% 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 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
by Alibaba
- Choose for Cost - 34% lower pricing; better value at scale
| Capability | Mistral Large 4 | Qwen3.5 Plus 2026-02-15 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Mistral Large 4
Mistral AI
Qwen3.5 Plus 2026-02-15
Alibaba
Qwen3.5 Plus 2026-02-15 saves you $1.39/month
That's 37% cheaper than Mistral Large 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 | Mistral Large 4 | Qwen3.5 Plus 2026-02-15 |
|---|---|---|
| Context Window | 524K | 1M |
| Max Output Tokens | 262,144 | 65,536 |
| Open Source | No | No |
| Created | Oct 6, 2026 | Feb 16, 2026 |