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GPT-5.6 Terra Pro vs Qwen3 30B A3B Instruct 2507

Signal-by-Signal Comparison
SignalGPT-5.6 Terra ProDeltaQwen3 30B A3B Instruct 2507
Capabilities
100
+50
50
Benchmarks
88
+88
0
Pricing
94
-6
100
Context window size
96
+10
86
Recency
100
+35
65
Output Capacity
85
+10
75
Overall Result
5 wins
of 6
1 wins
GPT-5.6 Terra Pro wins 5 of 6 signals

Score History

Score History (25 data points)
GPT-5.6 Terra ProQwen3 30B A3B Instruct 2507
GPT-5.6 Terra Pro

89

current score

Leader

GPT-5.6 Terra Pro

right now

Qwen3 30B A3B Instruct 2507

64.1

current score

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

GPT-5.6 Terra Pro

OpenAI

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

Qwen3 30B A3B Instruct 2507

Alibaba

Best Value
Per request$0.000145
Daily$0.48
Monthly$14.47
Annual$173.61

Qwen3 30B A3B Instruct 2507 saves you $385.53/month

That's $4626.39/year compared to GPT-5.6 Terra Pro at your current usage level of 100K calls/month.

96% cheaper
Choose Qwen3 30B A3B Instruct 2507 for cost optimization

GPT-5.6 Terra Pro pricing:
Input:$1.00/M tokens
Output:$6.00/M tokens
Qwen3 30B A3B Instruct 2507 pricing:
Input:$0.05/M tokens
Output:$0.19/M tokens
Winner
GPT-5.6 Terra Pro

OpenAI

89

Composite Score

Qwen3 30B A3B Instruct 2507

Alibaba

64

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.6 Terra ProQwen3 30B A3B Instruct 2507Winner
Overall Score
89
64
GPT-5.6 Terra Pro
Rank#36#195
GPT-5.6 Terra Pro
Quality Rank#36#195
GPT-5.6 Terra Pro
Adoption Rank#36#195
GPT-5.6 Terra Pro
Parameters--30B--
Context Window1050K262K
GPT-5.6 Terra Pro
Pricing$1.00/$6.00/M$0.05/$0.19/M--
Signal Scores
Capabilities
100
50
GPT-5.6 Terra Pro
Benchmarks
88
--
GPT-5.6 Terra Pro
Pricing
94
100
Qwen3 30B A3B Instruct 2507
Context window size
96
86
GPT-5.6 Terra Pro
Recency
100
65
GPT-5.6 Terra Pro
Output Capacity
85
75
GPT-5.6 Terra Pro
Benchmark Head-to-Head(11 benchmarks)
GPT-5.6 Terra: 0Qwen3 30B: 0
GPT-5.6 Terra
Qwen3 30B
Normalized 0-100%
MMLU
93%-
MMLU-Pro
84.5%-
GPQA Diamond
85%-
MATH-500
92.5%-
HumanEval
96.5%-
SWE-bench Verified
75%-
IFEval
92%-
BBH
90.5%-
Arena Elo
1465-
LiveBench
76%-
HLE
35%-
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-5.6 Terra ProElite Tier

Scores 89/100 (rank #36), placing it in the top 88% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3 30B A3B Instruct 2507Competitive

Scores 64/100 (rank #195), placing it in the top 33% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.6 Terra Pro has a 25-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-5.6 Terra Pro when you need:

  • Processing long documents or large codebases (1050K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Qwen3 30B A3B 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
GPT-5.6 Terra Pro
Input cost$1.00/M tokens
Output cost$6.00/M tokens
Cost per quality point$0.079
Est. monthly (1M tokens/day)$105.00
Qwen3 30B A3B Instruct 2507Best Value
Input cost$0.05/M tokens
Output cost$0.19/M tokens
Cost per quality point$0.004
Est. monthly (1M tokens/day)$3.62

Qwen3 30B A3B Instruct 2507 offers 97% better value per quality point. At 1M tokens/day, you'd spend $3.62/month with Qwen3 30B A3B Instruct 2507 vs $105.00/month with GPT-5.6 Terra Pro - a $101.38 monthly difference.

Latency & Speed
GPT-5.6 Terra ProFaster
Speed score0/100
Qwen3 30B A3B 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

GPT-5.6 Terra Pro

Customer support chatbot

Suitable for user-facing chat with competitive response times. Qwen3 30B A3B Instruct 2507 also offers lower per-token costs for high-volume support

GPT-5.6 Terra Pro

Long document analysis

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

GPT-5.6 Terra Pro

Batch data extraction

Lower output pricing ($0.19/M) reduces costs when processing thousands of records daily

Qwen3 30B A3B Instruct 2507

Creative writing & content

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

GPT-5.6 Terra Pro

Image understanding & OCR

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

GPT-5.6 Terra Pro
Which Should You Choose?
Our recommendation:
GPT-5.6 Terra Pro

GPT-5.6 Terra Pro clearly outperforms Qwen3 30B A3B Instruct 2507 with a significant 24.900000000000006-point lead. For most general use cases, GPT-5.6 Terra Pro is the stronger choice. However, Qwen3 30B A3B Instruct 2507 may still excel in niche scenarios.

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 - 97% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5.6 Terra ProQwen3 30B A3B Instruct 2507
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-5.6 Terra Pro

OpenAI

$9.00
estimated monthly cost

Qwen3 30B A3B Instruct 2507

Alibaba

Best Value
$0.3183
estimated monthly cost

Qwen3 30B A3B Instruct 2507 saves you $8.68/month

That's 96% cheaper than GPT-5.6 Terra Pro 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-5.6 Terra ProQwen3 30B A3B Instruct 2507
Context Window1.1M262K
Max Output Tokens128,00032,000
Open SourceNoYes
CreatedJul 9, 2026Jul 29, 2025
Last updated: 23m ago

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GPT-5.6 Terra Pro vs Qwen3 30B A3B Instruct 2507 (2026) | LM Market Cap