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GPT-6.1 Terra (batch) vs Qwen-Plus

vs
Qwen-Plus

Alibaba

40#403
Signal-by-Signal Comparison
SignalGPT-6.1 Terra (batch)DeltaQwen-Plus
Capabilities
100
+50
50
Pricing
98
-2
99
Context window size
96
+0
95
Recency
100
+84
16
Output Capacity
82
+9
72
Overall Result
4 wins
of 5
1 wins
GPT-6.1 Terra (batch) wins 4 of 5 signals

Score History

Score History (38 data points)
GPT-6.1 Terra (batch)Qwen-Plus
GPT-6.1 Terra (batch)

40

current score

Leader

Tied

right now

Qwen-Plus

40

current score

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

GPT-6.1 Terra (batch)

OpenAI

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

Qwen-Plus

Alibaba

Best Value
Per request$0.000650
Daily$2.17
Monthly$65.00
Annual$780.00

Qwen-Plus saves you $110.00/month

That's $1320.00/year compared to GPT-6.1 Terra (batch) at your current usage level of 100K calls/month.

63% cheaper
Choose Qwen-Plus for cost optimization

GPT-6.1 Terra (batch) pricing:
Input:$0.50/M tokens
Output:$2.50/M tokens
Qwen-Plus pricing:
Input:$0.26/M tokens
Output:$0.78/M tokens
Tie
GPT-6.1 Terra (batch)

OpenAI

40

Composite Score

Tie
Qwen-Plus

Alibaba

40

Composite Score

Signal-by-Signal Comparison
MetricGPT-6.1 Terra (batch)Qwen-PlusWinner
Overall Score
40
40
--
Rank#181#403
GPT-6.1 Terra (batch)
Quality Rank#181#403
GPT-6.1 Terra (batch)
Adoption Rank#181#403
GPT-6.1 Terra (batch)
Parameters------
Context Window1050K1000K
GPT-6.1 Terra (batch)
Pricing$0.50/$2.50/M$0.26/$0.78/M--
Signal Scores
Capabilities
100
50
GPT-6.1 Terra (batch)
Pricing
98
99
Qwen-Plus
Context window size
96
95
GPT-6.1 Terra (batch)
Recency
100
16
GPT-6.1 Terra (batch)
Output Capacity
82
72
GPT-6.1 Terra (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 (batch)Entry Level

Scores 40/100 (rank #181), placing it in the top 38% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen-PlusEntry Level

Scores 40/100 (rank #403), placing it in the top -39% 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 (batch) when you need:

  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Qwen-Plus when you need:

  • High-volume production workloads where API costs must be minimized
Cost-Performance Analysis
GPT-6.1 Terra (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
Qwen-PlusBest Value
Input cost$0.26/M tokens
Output cost$0.78/M tokens
Cost per quality point$0.026
Est. monthly (1M tokens/day)$15.60

Qwen-Plus offers 65% better value per quality point. At 1M tokens/day, you'd spend $15.60/month with Qwen-Plus vs $45.00/month with GPT-6.1 Terra (batch) - a $29.40 monthly difference.

Latency & Speed
GPT-6.1 Terra (batch)Faster
Speed score0/100
Qwen-Plus
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 (batch)

Customer support chatbot

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

GPT-6.1 Terra (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 (batch)

Batch data extraction

Lower output pricing ($0.78/M) reduces costs when processing thousands of records daily

Qwen-Plus

Creative writing & content

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

GPT-6.1 Terra (batch)

Image understanding & OCR

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

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

GPT-6.1 Terra (batch) and Qwen-Plus 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 - 65% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-6.1 Terra (batch)Qwen-Plus
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-6.1 Terra (batch)

OpenAI

$3.90
estimated monthly cost

Qwen-Plus

Alibaba

Best Value
$1.40
estimated monthly cost

Qwen-Plus saves you $2.50/month

That's 64% cheaper than GPT-6.1 Terra (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 (batch)Qwen-Plus
Context Window1.1M1M
Max Output Tokens128,00032,768
Open SourceNoNo
CreatedOct 26, 2026Feb 1, 2025
Last updated: 7m ago

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GPT-6.1 Terra (batch) vs Qwen-Plus (2026) | LM Market Cap