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MiniMax M1 vs Qwen3 235B A22B Instruct 2507

MiniMax M1

MiniMax

64#166
vs
Signal-by-Signal Comparison
SignalMiniMax M1DeltaQwen3 235B A22B Instruct 2507
Capabilities
50
--
50
Benchmarks
65
+1
64
Pricing
98
-2
100
Context window size
95
+9
86
Recency
45
-6
51
Output Capacity
74
+6
67
Overall Result
3 wins
of 6
2 wins
MiniMax M1 wins 3 of 6 signals

Score History

Score History (35 data points)
MiniMax M1Qwen3 235B A22B Instruct 2507
MiniMax M1

64.1

current score

Leader

Qwen3 235B A22B Instruct 2507

right now

Qwen3 235B A22B Instruct 2507

64.7

current score

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

MiniMax M1

MiniMax

Per request$0.001650
Daily$5.50
Monthly$165.00
Annual$1980.00

Qwen3 235B A22B Instruct 2507

Alibaba

Best Value
Per request$0.000365
Daily$1.22
Monthly$36.50
Annual$438.00

Qwen3 235B A22B Instruct 2507 saves you $128.50/month

That's $1542.00/year compared to MiniMax M1 at your current usage level of 100K calls/month.

78% cheaper
Choose Qwen3 235B A22B Instruct 2507 for cost optimization

MiniMax M1 pricing:
Input:$0.55/M tokens
Output:$2.20/M tokens
Qwen3 235B A22B Instruct 2507 pricing:
Input:$0.09/M tokens
Output:$0.55/M tokens
MiniMax M1

MiniMax

64

Composite Score

Winner
Qwen3 235B A22B Instruct 2507

Alibaba

65

Composite Score

Signal-by-Signal Comparison
MetricMiniMax M1Qwen3 235B A22B Instruct 2507Winner
Overall Score
64
65
Qwen3 235B A22B Instruct 2507
Rank#166#165
Qwen3 235B A22B Instruct 2507
Quality Rank#166#165
Qwen3 235B A22B Instruct 2507
Adoption Rank#166#165
Qwen3 235B A22B Instruct 2507
Parameters--235B--
Context Window1000K262K
MiniMax M1
Pricing$0.55/$2.20/M$0.09/$0.55/M--
Signal Scores
Capabilities
50
50
MiniMax M1
Benchmarks
65
64
MiniMax M1
Pricing
98
100
Qwen3 235B A22B Instruct 2507
Context window size
95
86
MiniMax M1
Recency
45
51
Qwen3 235B A22B Instruct 2507
Output Capacity
74
67
MiniMax M1
Benchmark Head-to-Head(1 benchmarks)
MiniMax M1: 1Qwen3 235B: 0
MiniMax M1
Qwen3 235B
Normalized 0-100%
MMLU-Pro
81.1%68.2%
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 M1Competitive

Scores 64/100 (rank #166), placing it in the top 43% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3 235B A22B Instruct 2507Competitive

Scores 65/100 (rank #165), placing it in the top 43% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 1-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 M1 when you need:

  • Processing long documents or large codebases (1000K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Qwen3 235B A22B Instruct 2507 when you need:

  • High-volume production workloads where API costs must be minimized
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
MiniMax M1
Input cost$0.55/M tokens
Output cost$2.20/M tokens
Cost per quality point$0.043
Est. monthly (1M tokens/day)$41.25
Qwen3 235B A22B Instruct 2507Best Value
Input cost$0.09/M tokens
Output cost$0.55/M tokens
Cost per quality point$0.010
Est. monthly (1M tokens/day)$9.60

Qwen3 235B A22B Instruct 2507 offers 77% better value per quality point. At 1M tokens/day, you'd spend $9.60/month with Qwen3 235B A22B Instruct 2507 vs $41.25/month with MiniMax M1 - a $31.65 monthly difference.

Latency & Speed
MiniMax M1Faster
Speed score0/100
Qwen3 235B A22B Instruct 2507
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 M1

Customer support chatbot

Suitable for user-facing chat with competitive response times. Qwen3 235B A22B Instruct 2507 also offers lower per-token costs for high-volume support

MiniMax M1

Long document analysis

Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass

MiniMax M1

Batch data extraction

Lower output pricing ($0.55/M) reduces costs when processing thousands of records daily

Qwen3 235B A22B Instruct 2507

Creative writing & content

Higher overall composite score (65/100) correlates with better nuance, coherence, and style in long-form content

Qwen3 235B A22B Instruct 2507
Which Should You Choose?
Our recommendation:
Qwen3 235B A22B Instruct 2507

MiniMax M1 and Qwen3 235B A22B Instruct 2507 are extremely close in overall performance (only 0.6000000000000085 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 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 - 77% lower pricing; better value at scale
Capability Comparison
CapabilityMiniMax M1Qwen3 235B A22B Instruct 2507
Vision (Image Input)
Function Calling
Streaming
JSON Modediffers
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

MiniMax M1

MiniMax

$3.63
estimated monthly cost

Qwen3 235B A22B Instruct 2507

Alibaba

Best Value
$0.8220
estimated monthly cost

Qwen3 235B A22B Instruct 2507 saves you $2.81/month

That's 77% cheaper than MiniMax M1 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 M1Qwen3 235B A22B Instruct 2507
Context Window1M262K
Max Output Tokens40,00016,384
Open SourceNoYes
CreatedJun 17, 2025Jul 21, 2025
Last updated: 10m ago

相关对比

MiniMax M1 vs Qwen3 235B A22B Instruct 2507 (2026) | LM Market Cap