GPT-5.6 Terra vs Qwen3.8 Max
At a Glance
| Compare |  GPT-5.6 TerraOpenAI |  Qwen3.8 MaxQwen |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #13 of 4674.9 score · 3/3 sources · complete | #10 of 4679.2 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 52.8–86.1 |
| CostLower is better · Published-token output estimate | #35 of 44$0.266 per LiveBench case | #23 of 44$0.107 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | #23 of 3851.5 score · 3/3 sources · complete | #6 of 3863.2 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 50.0–66.7 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $2.00Openai ↗ · Sep 3, 2026 | $1.65Deepinfra ↗ · Sep 21, 2026 |
| Output priceFrom · USD / 1M tokens | $12.00Openai ↗ · Sep 3, 2026 | $4.951Deepinfra ↗ · Sep 21, 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 | Qwen3.8-Max |
|---|---|---|
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · statistical tie | 1.4498% of row best · score · GPT 5.6 Terra (xHigh); 95% CI [0.32735411, 2.55262103]; sessions 20301; observations 1231027; rank 23 | 3.30100% of row best · score · Qwen3.8 Max; 95% CI [2.46604139, 4.14181105]; sessions 31489; observations 2502655; rank 17 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,446.2298% of row best · rating · gpt-5.6-terra-xhigh; 95% CI [1441.41414497, 1451.02563541]; votes 28119; rank 52 | 1,480.55100% of row best · rating · qwen3.8-max; 95% CI [1474.79040793, 1486.31846927]; votes 16670; rank 14 |
| LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · leader | 1,269.9097% of row best · rating · gpt-5.6-terra-xhigh; 95% CI [1261.54272100, 1278.25950723]; votes 7726; rank 36 | 1,315.33100% of row best · rating · qwen3.8-max; 95% CI [1307.40892164, 1323.25970514]; votes 8665; rank 6 |
| LiveBench2026-06-25 · overall · leader | 82.31100% of row best · percent · gpt-5.6-terra-max · 22,145 output tokens / case | 81.8899% of row best · percent · qwen3.8-max · 21,637 output tokens / case |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 86.39100% of row best · points · GPT-5.6 Terra (ultra) · 11,336 output tokens / case | 83.3296% of row best · points · Qwen3.8 Max · 22,888 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above · 1 tie | 1 benchmark win | 2 benchmark winsOverall lead |
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 | Qwen3.8-Max |
|---|---|---|
| Developer | OpenAI | Qwen |
| Family | Gpt 5 6 | Qwen3 8 Max |
| Model | GPT-5.6 Terra | Qwen3.8-Max |
| Version | GPT-5.6 Terra | Qwen3.8-Max |
| 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 | 2.4T |
| 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), Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | agents, chat, reasoning, structured_outputs, tools, vision |
GPT-5.6 Terra Capabilities
Qwen3.8 Max Capabilities
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| vs | GPT-5.6 TerraOpenAI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
GPT-5.6 Terra vs Qwen3.8 Max FAQs
Is GPT-5.6 Terra or Qwen3.8 Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5.6 Terra and Qwen3.8 Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GPT-5.6 Terra or Qwen3.8 Max?+
GPT-5.6 Terra is $2.00 and Qwen3.8 Max is $1.65 per million tokens, so Qwen3.8 Max is cheaper on this metric. GPT-5.6 Terra is $12.00 and Qwen3.8 Max is $4.951 per million tokens, so Qwen3.8 Max is cheaper on this metric.
Which has a larger context window, GPT-5.6 Terra or Qwen3.8 Max?+
GPT-5.6 Terra has the larger sourced context window. GPT-5.6 Terra supports 1,050K and Qwen3.8 Max supports 1,000K.
Which performs better in benchmarks, GPT-5.6 Terra or Qwen3.8 Max?+
Qwen3.8 Max leads the current overall benchmark count. The result uses 4 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can GPT-5.6 Terra or Qwen3.8 Max be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. GPT-5.6 Terra is not marked open weight; Qwen3.8 Max is not marked open weight.
Can GPT-5.6 Terra and Qwen3.8 Max understand images?+
GPT-5.6 Terra is documented with image input; Qwen3.8 Max is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, GPT-5.6 Terra or Qwen3.8 Max?+
Qwen3.8 Max has the larger sourced maximum output: GPT-5.6 Terra supports 128K and Qwen3.8 Max supports 131K output tokens.
Do GPT-5.6 Terra and Qwen3.8 Max support reasoning and tool use?+
GPT-5.6 Terra: reasoning, tool calling, and image input. Qwen3.8 Max: 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 Qwen3.8 Max?+
GPT-5.6 Terra has 2 sourced provider routes; Qwen3.8 Max has 4, so Qwen3.8 Max has broader tracked availability.
Which offers better value, GPT-5.6 Terra or Qwen3.8 Max?+
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.