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GPT-6.1 Terra Pro (batch) vs Qwen3.7 Flash

vs
Qwen3.7 Flash

Alibaba

40#278
Signal-by-Signal Comparison
SignalGPT-6.1 Terra Pro (batch)DeltaQwen3.7 Flash
Capabilities
100
+17
83
Pricing
98
-2
100
Context window size
96
+0
95
Recency
100
--
100
Output Capacity
82
+5
77
Overall Result
3 wins
of 5
1 wins
GPT-6.1 Terra Pro (batch) wins 3 of 5 signals

Score History

Score History (14 data points)
GPT-6.1 Terra Pro (batch)Qwen3.7 Flash
GPT-6.1 Terra Pro (batch)

40

current score

Leader

Tied

right now

Qwen3.7 Flash

40

current score

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

GPT-6.1 Terra Pro (batch)

OpenAI

Per request$0.001750
Daily$5.83
Monthly$175.00
Annual$2100.00

Qwen3.7 Flash

Alibaba

Best Value
Per request$0.000095
Daily$0.32
Monthly$9.50
Annual$114.00

Qwen3.7 Flash saves you $165.50/month

That's $1986.00/year compared to GPT-6.1 Terra Pro (batch) at your current usage level of 100K calls/month.

95% cheaper
Choose Qwen3.7 Flash for cost optimization

GPT-6.1 Terra Pro (batch) pricing:
Input:$0.50/M tokens
Output:$2.50/M tokens
Qwen3.7 Flash pricing:
Input:$0.03/M tokens
Output:$0.13/M tokens
Tie
GPT-6.1 Terra Pro (batch)

OpenAI

40

Composite Score

Tie
Qwen3.7 Flash

Alibaba

40

Composite Score

Signal-by-Signal Comparison
MetricGPT-6.1 Terra Pro (batch)Qwen3.7 FlashWinner
Overall Score
40
40
--
Rank#176#278
GPT-6.1 Terra Pro (batch)
Quality Rank#176#278
GPT-6.1 Terra Pro (batch)
Adoption Rank#176#278
GPT-6.1 Terra Pro (batch)
Parameters------
Context Window1050K1000K
GPT-6.1 Terra Pro (batch)
Pricing$0.50/$2.50/M$0.03/$0.13/M--
Signal Scores
Capabilities
100
83
GPT-6.1 Terra Pro (batch)
Pricing
98
100
Qwen3.7 Flash
Context window size
96
95
GPT-6.1 Terra Pro (batch)
Recency
100
100
GPT-6.1 Terra Pro (batch)
Output Capacity
82
77
GPT-6.1 Terra Pro (batch)
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.

GPT-6.1 Terra Pro (batch)Entry Level

Scores 40/100 (rank #176), placing it in the top 40% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3.7 FlashEntry Level

Scores 40/100 (rank #278), placing it in the top 4% 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 GPT-6.1 Terra Pro (batch) when you need:

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

Choose Qwen3.7 Flash when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GPT-6.1 Terra Pro (batch)
Input cost$0.50/M tokens
Output cost$2.50/M tokens
Cost per quality point$0.075
Est. monthly (1M tokens/day)$45.00
Qwen3.7 FlashBest Value
Input cost$0.03/M tokens
Output cost$0.13/M tokens
Cost per quality point$0.004
Est. monthly (1M tokens/day)$2.40

Qwen3.7 Flash offers 95% better value per quality point. At 1M tokens/day, you'd spend $2.40/month with Qwen3.7 Flash vs $45.00/month with GPT-6.1 Terra Pro (batch) - a $42.60 monthly difference.

Latency & Speed
GPT-6.1 Terra Pro (batch)Faster
Speed score0/100
Qwen3.7 Flash
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

GPT-6.1 Terra Pro (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Qwen3.7 Flash also offers lower per-token costs for high-volume support

GPT-6.1 Terra Pro (batch)

Long document analysis

Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-6.1 Terra Pro (batch)

Batch data extraction

Lower output pricing ($0.13/M) reduces costs when processing thousands of records daily

Qwen3.7 Flash

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

GPT-6.1 Terra Pro (batch)

Image understanding & OCR

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

GPT-6.1 Terra Pro (batch)
Which Should You Choose?
Our recommendation:
GPT-6.1 Terra Pro (batch)

GPT-6.1 Terra Pro (batch) and Qwen3.7 Flash are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by OpenAI

  • 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 - 95% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-6.1 Terra Pro (batch)Qwen3.7 Flash
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-6.1 Terra Pro (batch)

OpenAI

$3.90
estimated monthly cost

Qwen3.7 Flash

Alibaba

Best Value
$0.2100
estimated monthly cost

Qwen3.7 Flash saves you $3.69/month

That's 95% cheaper than GPT-6.1 Terra Pro (batch) 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
ParameterGPT-6.1 Terra Pro (batch)Qwen3.7 Flash
Context Window1.1M1M
Max Output Tokens128,00065,536
Open SourceNoNo
CreatedOct 26, 2026Jul 27, 2026
Last updated: 49m ago

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GPT-6.1 Terra Pro (batch) vs Qwen3.7 Flash (2026) | LM Market Cap