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Qwen3 Max Thinking vs Grok 4.7

Qwen3 Max Thinking

Alibaba

68#178
vs
Grok 4.7

xAI

89#42
Signal-by-Signal Comparison
SignalQwen3 Max ThinkingDeltaGrok 4.7
Capabilities
67
-33
100
Benchmarks
69
-18
86
Pricing
96
+1
95
Context window size
86
-4
90
Recency
92
-8
100
Output Capacity
77
-13
90
Overall Result
1 wins
of 6
5 wins
Grok 4.7 wins 5 of 6 signals

Score History

Score History (32 data points)
Qwen3 Max ThinkingGrok 4.7
Qwen3 Max Thinking

68.2

current score

Leader

Grok 4.7

right now

Grok 4.7

88.8

current score

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

Qwen3 Max Thinking

Alibaba

Best Value
Per request$0.002730
Daily$9.10
Monthly$273.00
Annual$3276.00

Grok 4.7

xAI

Per request$0.004000
Daily$13.33
Monthly$400.00
Annual$4800.00

Qwen3 Max Thinking saves you $127.00/month

That's $1524.00/year compared to Grok 4.7 at your current usage level of 100K calls/month.

32% cheaper
Choose Qwen3 Max Thinking for cost optimization

Qwen3 Max Thinking pricing:
Input:$0.78/M tokens
Output:$3.90/M tokens
Grok 4.7 pricing:
Input:$1.60/M tokens
Output:$4.80/M tokens
Qwen3 Max Thinking

Alibaba

68

Composite Score

Winner
Grok 4.7

xAI

89

Composite Score

Signal-by-Signal Comparison
MetricQwen3 Max ThinkingGrok 4.7Winner
Overall Score
68
89
Grok 4.7
Rank#178#42
Grok 4.7
Quality Rank#178#42
Grok 4.7
Adoption Rank#178#42
Grok 4.7
Parameters------
Context Window262K500K
Grok 4.7
Pricing$0.78/$3.90/M$1.60/$4.80/M--
Signal Scores
Capabilities
67
100
Grok 4.7
Benchmarks
69
86
Grok 4.7
Pricing
96
95
Qwen3 Max Thinking
Context window size
86
90
Grok 4.7
Recency
92
100
Grok 4.7
Output Capacity
77
90
Grok 4.7
Benchmark Head-to-Head(11 benchmarks)
Qwen3 Max: 1Grok 4.7: 0
Qwen3 Max
Grok 4.7
Normalized 0-100%
MMLU
-91.5%
MMLU-Pro
85.7%83.5%
GPQA Diamond
-82%
MATH-500
-95%
HumanEval
-95.5%
SWE-bench Verified
-70%
AIME 2024
-88%
IFEval
-91%
BBH
-90%
Arena Elo
-1462
LiveBench
-73%
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.

Qwen3 Max ThinkingCompetitive

Scores 68/100 (rank #178), placing it in the top 39% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Grok 4.7Elite Tier

Scores 89/100 (rank #42), placing it in the top 86% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Grok 4.7 has a 21-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Qwen3 Max Thinking when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

Choose Grok 4.7 when you need:

  • Processing long documents or large codebases (500K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Qwen3 Max ThinkingBest Value
Input cost$0.78/M tokens
Output cost$3.90/M tokens
Cost per quality point$0.069
Est. monthly (1M tokens/day)$70.20
Grok 4.7
Input cost$1.60/M tokens
Output cost$4.80/M tokens
Cost per quality point$0.072
Est. monthly (1M tokens/day)$96.00

Qwen3 Max Thinking offers 27% better value per quality point. At 1M tokens/day, you'd spend $70.20/month with Qwen3 Max Thinking vs $96.00/month with Grok 4.7 - a $25.80 monthly difference.

Latency & Speed
Qwen3 Max ThinkingFaster
Speed score0/100
Grok 4.7
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

Qwen3 Max Thinking

Customer support chatbot

Suitable for user-facing chat with competitive response times. Qwen3 Max Thinking also offers lower per-token costs for high-volume support

Qwen3 Max Thinking

Long document analysis

Larger context window (500K tokens) can process longer documents, contracts, and research papers in a single pass

Grok 4.7

Batch data extraction

Lower output pricing ($3.90/M) reduces costs when processing thousands of records daily

Qwen3 Max Thinking

Creative writing & content

Higher overall composite score (89/100) correlates with better nuance, coherence, and style in long-form content

Grok 4.7

Image understanding & OCR

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

Grok 4.7
Which Should You Choose?
Our recommendation:
Grok 4.7

Grok 4.7 clearly outperforms Qwen3 Max Thinking with a significant 20.599999999999994-point lead. For most general use cases, Grok 4.7 is the stronger choice. However, Qwen3 Max Thinking may still excel in niche scenarios.

by Alibaba

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 27% 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
Grok 4.7
Recommended

by xAI

Consider for specialized use cases.

Capability Comparison
CapabilityQwen3 Max ThinkingGrok 4.7
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Qwen3 Max Thinking

Alibaba

Best Value
$6.08
estimated monthly cost

Grok 4.7

xAI

$8.64
estimated monthly cost

Qwen3 Max Thinking saves you $2.56/month

That's 30% cheaper than Grok 4.7 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
ParameterQwen3 Max ThinkingGrok 4.7
Context Window262K500K
Max Output Tokens65,536450,000
Open SourceNoNo
CreatedFeb 9, 2026Sep 21, 2026
Last updated: 22m ago

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