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MiniMax M2.7 (free) vs Qwen3 VL 235B A22B Thinking

Signal-by-Signal Comparison
SignalMiniMax M2.7 (free)DeltaQwen3 VL 235B A22B Thinking
Capabilities
67
-17
83
Benchmarks
69
+3
66
Pricing
100
+4
96
Context window size
84
+3
81
Recency
100
+30
70
Output Capacity
84
+12
72
Overall Result
5 wins
of 6
1 wins
MiniMax M2.7 (free) wins 5 of 6 signals

Score History

Score History (29 data points)
MiniMax M2.7 (free)Qwen3 VL 235B A22B Thinking
MiniMax M2.7 (free)

69.5

current score

Leader

MiniMax M2.7 (free)

right now

Qwen3 VL 235B A22B Thinking

69.3

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

MiniMax M2.7 (free)

MiniMax

Best Value
Per request$0.000000
Daily$0.00
Monthly$0.00
Annual$0.00

Qwen3 VL 235B A22B Thinking

Alibaba

Per request$0.002400
Daily$8.00
Monthly$240.00
Annual$2880.00

MiniMax M2.7 (free) saves you $240.00/month

That's $2880.00/year compared to Qwen3 VL 235B A22B Thinking at your current usage level of 100K calls/month.

100% cheaper
Choose MiniMax M2.7 (free) for cost optimization

MiniMax M2.7 (free) pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
Qwen3 VL 235B A22B Thinking pricing:
Input:$0.40/M tokens
Output:$4.00/M tokens
Winner
MiniMax M2.7 (free)

MiniMax

70

Composite Score

Qwen3 VL 235B A22B Thinking

Alibaba

69

Composite Score

Signal-by-Signal Comparison
MetricMiniMax M2.7 (free)Qwen3 VL 235B A22B ThinkingWinner
Overall Score
70
69
MiniMax M2.7 (free)
Rank#161#163
MiniMax M2.7 (free)
Quality Rank#161#163
MiniMax M2.7 (free)
Adoption Rank#161#163
MiniMax M2.7 (free)
Parameters--235B--
Context Window197K131K
MiniMax M2.7 (free)
PricingFree$0.40/$4.00/M--
Signal Scores
Capabilities
67
83
Qwen3 VL 235B A22B Thinking
Benchmarks
69
66
MiniMax M2.7 (free)
Pricing
100
96
MiniMax M2.7 (free)
Context window size
84
81
MiniMax M2.7 (free)
Recency
100
70
MiniMax M2.7 (free)
Output Capacity
84
72
MiniMax M2.7 (free)
Benchmark Head-to-Head(1 benchmarks)
MiniMax M2.7: 1Qwen3 VL: 0
MiniMax M2.7
Qwen3 VL
Normalized 0-100%
Arena Elo
14161395
Benchmark Interpretation

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.

MiniMax M2.7 (free)Competitive

Scores 70/100 (rank #161), placing it in the top 45% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3 VL 235B A22B ThinkingCompetitive

Scores 69/100 (rank #163), placing it in the top 44% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

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.

When to Use Each Model

Choose MiniMax M2.7 (free) when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose Qwen3 VL 235B A22B Thinking when you need:

  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
MiniMax M2.7 (free)
Input cost$0.00/M tokens
Output cost$0.00/M tokens
Cost per quality point$0.000
Est. monthly (1M tokens/day)$0.00
Qwen3 VL 235B A22B Thinking
Input cost$0.40/M tokens
Output cost$4.00/M tokens
Cost per quality point$0.063
Est. monthly (1M tokens/day)$66.00

Compare the cost per quality point to find the best value for your specific workload.

Latency & Speed
MiniMax M2.7 (free)Faster
Speed score0/100
Qwen3 VL 235B A22B Thinking
Speed score0/100

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.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

MiniMax M2.7 (free)

Customer support chatbot

Suitable for user-facing chat with competitive response times. MiniMax M2.7 (free) also offers lower per-token costs for high-volume support

MiniMax M2.7 (free)

Long document analysis

Larger context window (197K tokens) can process longer documents, contracts, and research papers in a single pass

MiniMax M2.7 (free)

Batch data extraction

Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily

MiniMax M2.7 (free)

Creative writing & content

Higher overall composite score (70/100) correlates with better nuance, coherence, and style in long-form content

MiniMax M2.7 (free)

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Qwen3 VL 235B A22B Thinking
Which Should You Choose?
Our recommendation:
MiniMax M2.7 (free)

MiniMax M2.7 (free) and Qwen3 VL 235B A22B Thinking are extremely close in overall performance (only 0.20000000000000284 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by MiniMax

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 100% 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

by Alibaba

Consider for specialized use cases.

Capability Comparison
CapabilityMiniMax M2.7 (free)Qwen3 VL 235B A22B Thinking
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

MiniMax M2.7 (free)

MiniMax

Best Value
$0.000000
estimated monthly cost

Qwen3 VL 235B A22B Thinking

Alibaba

$5.52
estimated monthly cost

MiniMax M2.7 (free) saves you $5.52/month

That's 100% cheaper than Qwen3 VL 235B A22B 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.

Parameters & Context
ParameterMiniMax M2.7 (free)Qwen3 VL 235B A22B Thinking
Context Window197K131K
Max Output Tokens176,94732,768
Open SourceYesYes
CreatedMar 18, 2026Sep 23, 2025
Last updated: 43m ago

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MiniMax M2.7 (free) vs Qwen3 VL 235B A22B Thinking (2026) | LM Market Cap