MiniMax M2-her vs Qwen3 Max Thinking
| Signal | MiniMax M2-her | Delta | Qwen3 Max Thinking |
|---|---|---|---|
Capabilities | 17 | -50 | |
Benchmarks | 70 | +2 | |
Pricing | 99 | +3 | |
Context window size | 76 | -10 | |
Recency | 91 | -3 | |
Output Capacity | 53 | -24 | |
| Overall Result | 2 wins | of 6 | 4 wins |
Score History
68.1
current score
Qwen3 Max Thinking
right now
68.2
current score
MiniMax M2-her
MiniMax
Qwen3 Max Thinking
Alibaba
MiniMax M2-her saves you $183.00/month
That's $2196.00/year compared to Qwen3 Max Thinking at your current usage level of 100K calls/month.
| Metric | MiniMax M2-her | Qwen3 Max Thinking | Winner |
|---|---|---|---|
| Overall Score | 68 | 68 | Qwen3 Max Thinking |
| Rank | #180 | #179 | Qwen3 Max Thinking |
| Quality Rank | #180 | #179 | Qwen3 Max Thinking |
| Adoption Rank | #180 | #179 | Qwen3 Max Thinking |
| Parameters | -- | -- | -- |
| Context Window | 66K | 262K | Qwen3 Max Thinking |
| Pricing | $0.30/$1.20/M | $0.78/$3.90/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 67 | Qwen3 Max Thinking |
| Benchmarks | 70 | 69 | MiniMax M2-her |
| Pricing | 99 | 96 | MiniMax M2-her |
| Context window size | 76 | 86 | Qwen3 Max Thinking |
| Recency | 91 | 94 | Qwen3 Max Thinking |
| Output Capacity | 53 | 77 | Qwen3 Max Thinking |
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 #179), 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 MiniMax M2-her when you need:
- High-volume production workloads where API costs must be minimized
Choose Qwen3 Max Thinking when you need:
- Processing long documents or large codebases (262K token context)
- Agentic applications using tool/function calling
- Step-by-step reasoning and chain-of-thought problem solving
MiniMax M2-her offers 68% better value per quality point. At 1M tokens/day, you'd spend $22.50/month with MiniMax M2-her vs $70.20/month with Qwen3 Max Thinking - a $47.70 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. MiniMax M2-her also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($1.20/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
MiniMax M2-her and Qwen3 Max Thinking 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
MiniMax M2-her
Marginally better benchmark scores; both are excellent
Best for Cost
MiniMax M2-her
68% lower pricing; better value at scale
Best for Reliability
MiniMax M2-her
Higher uptime and faster response speeds
Best for Prototyping
MiniMax M2-her
Stronger community support and better developer experience
Best for Production
MiniMax M2-her
Wider enterprise adoption and proven at scale
by MiniMax
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 68% 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 | MiniMax M2-her | Qwen3 Max Thinking |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
MiniMax M2-her
MiniMax
Qwen3 Max Thinking
Alibaba
MiniMax M2-her saves you $4.10/month
That's 67% cheaper than Qwen3 Max Thinking 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 | MiniMax M2-her | Qwen3 Max Thinking |
|---|---|---|
| Context Window | 66K | 262K |
| Max Output Tokens | 2,048 | 65,536 |
| Open Source | No | No |
| Created | Jan 23, 2026 | Feb 9, 2026 |