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GPT-6.1 Terra Pro (batch) vs Qwen3.5 397B A17B

Signal-by-Signal Comparison
SignalGPT-6.1 Terra Pro (batch)DeltaQwen3.5 397B A17B
Capabilities
100
+17
83
Pricing
98
+1
96
Context window size
96
+10
86
Recency
100
+15
85
Output Capacity
82
-4
86
Benchmarks
0
-70
70
Overall Result
4 wins
of 6
2 wins
GPT-6.1 Terra Pro (batch) wins 4 of 6 signals

Score History

Score History (38 data points)
GPT-6.1 Terra Pro (batch)Qwen3.5 397B A17B
GPT-6.1 Terra Pro (batch)

40

current score

Leader

Qwen3.5 397B A17B

right now

Qwen3.5 397B A17B

70.7

current score

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

GPT-6.1 Terra Pro (batch)

OpenAI

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

Qwen3.5 397B A17B

Alibaba

Per request$0.002300
Daily$7.67
Monthly$230.00
Annual$2760.00

GPT-6.1 Terra Pro (batch) saves you $55.00/month

That's $660.00/year compared to Qwen3.5 397B A17B at your current usage level of 100K calls/month.

24% cheaper
Choose GPT-6.1 Terra Pro (batch) for cost optimization

GPT-6.1 Terra Pro (batch) pricing:
Input:$0.50/M tokens
Output:$2.50/M tokens
Qwen3.5 397B A17B pricing:
Input:$0.50/M tokens
Output:$3.60/M tokens
GPT-6.1 Terra Pro (batch)

OpenAI

40

Composite Score

Winner
Qwen3.5 397B A17B

Alibaba

71

Composite Score

Signal-by-Signal Comparison
MetricGPT-6.1 Terra Pro (batch)Qwen3.5 397B A17BWinner
Overall Score
40
71
Qwen3.5 397B A17B
Rank#181#113
Qwen3.5 397B A17B
Quality Rank#181#113
Qwen3.5 397B A17B
Adoption Rank#181#113
Qwen3.5 397B A17B
Parameters--397B--
Context Window1050K262K
GPT-6.1 Terra Pro (batch)
Pricing$0.50/$2.50/M$0.50/$3.60/M--
Signal Scores
Capabilities
100
83
GPT-6.1 Terra Pro (batch)
Pricing
98
96
GPT-6.1 Terra Pro (batch)
Context window size
96
86
GPT-6.1 Terra Pro (batch)
Recency
100
85
GPT-6.1 Terra Pro (batch)
Output Capacity
82
86
Qwen3.5 397B A17B
Benchmarks--
70
Qwen3.5 397B A17B
Benchmark Head-to-Head(1 benchmarks)
GPT-6.1 Terra: 0Qwen3.5 397B: 0
GPT-6.1 Terra
Qwen3.5 397B
Normalized 0-100%
MMLU-Pro
-87.8%
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 #181), placing it in the top 38% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3.5 397B A17BStrong Performer

Scores 71/100 (rank #113), placing it in the top 61% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Qwen3.5 397B A17B has a 31-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose GPT-6.1 Terra Pro (batch) when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1050K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Qwen3.5 397B A17B when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
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
Qwen3.5 397B A17BBest Value
Input cost$0.50/M tokens
Output cost$3.60/M tokens
Cost per quality point$0.058
Est. monthly (1M tokens/day)$61.50

Qwen3.5 397B A17B offers 27% better value per quality point. At 1M tokens/day, you'd spend $45.00/month with GPT-6.1 Terra Pro (batch) vs $61.50/month with Qwen3.5 397B A17B - a $16.50 monthly difference.

Latency & Speed
GPT-6.1 Terra Pro (batch)Faster
Speed score0/100
Qwen3.5 397B A17B
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. GPT-6.1 Terra Pro (batch) 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 ($2.50/M) reduces costs when processing thousands of records daily

GPT-6.1 Terra Pro (batch)

Creative writing & content

Higher overall composite score (71/100) correlates with better nuance, coherence, and style in long-form content

Qwen3.5 397B A17B

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:
Qwen3.5 397B A17B

Qwen3.5 397B A17B clearly outperforms GPT-6.1 Terra Pro (batch) with a significant 30.700000000000003-point lead. For most general use cases, Qwen3.5 397B A17B is the stronger choice. However, GPT-6.1 Terra Pro (batch) may still excel in niche scenarios.

by OpenAI

  • 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

by Alibaba

Consider for specialized use cases.

Capability Comparison
CapabilityGPT-6.1 Terra Pro (batch)Qwen3.5 397B A17B
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

Best Value
$3.90
estimated monthly cost

Qwen3.5 397B A17B

Alibaba

$5.22
estimated monthly cost

GPT-6.1 Terra Pro (batch) saves you $1.32/month

That's 25% cheaper than Qwen3.5 397B A17B 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)Qwen3.5 397B A17B
Context Window1.1M262K
Max Output Tokens128,000235,929
Open SourceNoYes
CreatedOct 26, 2026Feb 16, 2026
Last updated: 25m ago

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GPT-6.1 Terra Pro (batch) vs Qwen3.5 397B A17B (2026) | LM Market Cap