GPT-5.6 Terra vs Qwen3.7 Plus
At a Glance
| Compare |  GPT-5.6 TerraOpenAI |  Qwen3.7 PlusQwen |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #13 of 4674.9 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #35 of 44$0.266 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #23 of 3851.5 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $2.00Openai ↗ · Sep 3, 2026 | $0.32Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $12.00Openai ↗ · Sep 3, 2026 | $1.28Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 1,050K | 1,000K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 29, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | GPT-5.6 Terra | Qwen3.7-Plus |
|---|---|---|
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader | 1.44100% of row best · score · GPT 5.6 Terra (xHigh); 95% CI [0.32735411, 2.55262103]; sessions 20301; observations 1231027; rank 23 | -6.0893% of row best · score · Qwen3.7 Plus; 95% CI [-7.29245632, -4.87295146]; sessions 20905; observations 993739; rank 40 |
| LMArena Document Arenadocument-2026-09-13-d25aabda0010 · arena_rating · leader | 1,471.58100% of row best · rating · gpt-5.6-terra-xhigh; 95% CI [1463.31179298, 1479.85049651]; votes 5787; rank 13 | 1,444.1498% of row best · rating · qwen3.7-plus; 95% CI [1435.12302267, 1453.16578005]; votes 4591; rank 30 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · statistical tie | 1,446.2299% of row best · rating · gpt-5.6-terra-xhigh; 95% CI [1441.41414497, 1451.02563541]; votes 28119; rank 52 | 1,454.20100% of row best · rating · qwen3.7-plus; 95% CI [1449.75378609, 1458.63820942]; votes 39334; rank 39 |
| LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · statistical tie | 1,269.9099% of row best · rating · gpt-5.6-terra-xhigh; 95% CI [1261.54272100, 1278.25950723]; votes 7726; rank 36 | 1,277.81100% of row best · rating · qwen3.7-plus; 95% CI [1270.28208926, 1285.34488566]; votes 10656; rank 31 |
| Overall ResultCounted from the protocol-matched rows above · 2 ties | 2 benchmark winsNo overall winner | 0 benchmark winsNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | GPT-5.6 Terra | Qwen3.7-Plus |
|---|---|---|
| Developer | OpenAI | Qwen |
| Family | Gpt 5 6 | Qwen3 7 Plus |
| Model | GPT-5.6 Terra | Qwen3.7-Plus |
| Version | GPT-5.6 Terra | Qwen3.7-Plus |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | 2026-02-16 | Unknown |
| Input modalities | Text, Image | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 1,050K | 1,000K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Openai (Standard), Openrouter (Standard) | Alibaba Cloud Model Studio (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | agents, chat, computer-use, reasoning, structured_outputs, tools, vision |
GPT-5.6 Terra Capabilities
Qwen3.7 Plus Capabilities
Related Comparisons
All image comparisons →| A | Pair | B | Context |
|---|---|---|---|
GPT-5.6 TerraOpenAI | vs | GPT-6 AstraOpenAI | family variantsimage, text |
Claude Fable 5.1Anthropic | vs | GPT-5.6 TerraOpenAI | cross-developer peersimage, text |
 Gemini 3.1 ProGoogle DeepMind | vs | GPT-5.6 TerraOpenAI | cross-developer peerstext |
 DeepSeek-V4.1-FlashDeepSeek | vs | GPT-5.6 TerraOpenAI | cross-developer peersimage, text |
GPT-5.6 TerraOpenAI | vs | Grok 4.6xAI | cross-developer peersimage, text |
GPT-5.6 TerraOpenAI | vs | Qwen3.8-MaxQwen | cross-developer peersimage, text |
 Kimi-K3Moonshot AI | vs | GPT-5.6 TerraOpenAI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | GPT-5.6 TerraOpenAI | cross-developer peersimage, text |
GPT-5.6 TerraOpenAI | vs |  GLM-5.3Z.ai | cross-developer peerstext |
GPT-5.6 TerraOpenAI | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | GPT-5.6 TerraOpenAI | cross-developer peersimage, text |
 Mistral Large 3Mistral AI | vs | GPT-5.6 TerraOpenAI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
GPT-5.6 Terra vs Qwen3.7 Plus FAQs
Is GPT-5.6 Terra or Qwen3.7 Plus better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5.6 Terra and Qwen3.7 Plus, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GPT-5.6 Terra or Qwen3.7 Plus?+
GPT-5.6 Terra is $2.00 and Qwen3.7 Plus is $0.32 per million tokens, so Qwen3.7 Plus is cheaper on this metric. GPT-5.6 Terra is $12.00 and Qwen3.7 Plus is $1.28 per million tokens, so Qwen3.7 Plus is cheaper on this metric.
Which has a larger context window, GPT-5.6 Terra or Qwen3.7 Plus?+
GPT-5.6 Terra has the larger sourced context window. GPT-5.6 Terra supports 1,050K and Qwen3.7 Plus supports 1,000K.
Which performs better in benchmarks, GPT-5.6 Terra or Qwen3.7 Plus?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can GPT-5.6 Terra or Qwen3.7 Plus be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. GPT-5.6 Terra is not marked open weight; Qwen3.7 Plus is not marked open weight.
Can GPT-5.6 Terra and Qwen3.7 Plus understand images?+
GPT-5.6 Terra is documented with image input; Qwen3.7 Plus is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, GPT-5.6 Terra or Qwen3.7 Plus?+
Qwen3.7 Plus has the larger sourced maximum output: GPT-5.6 Terra supports 128K and Qwen3.7 Plus supports 131K output tokens.
Do GPT-5.6 Terra and Qwen3.7 Plus support reasoning and tool use?+
GPT-5.6 Terra: reasoning, tool calling, and image input. Qwen3.7 Plus: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, GPT-5.6 Terra or Qwen3.7 Plus?+
GPT-5.6 Terra has 2 sourced provider routes; Qwen3.7 Plus has 4, so Qwen3.7 Plus has broader tracked availability.
Which offers better value, GPT-5.6 Terra or Qwen3.7 Plus?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.