GPT-5.5 vs Qwen3.8 Max
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | GPT-5.5 | Qwen3.8-Max |
|---|---|---|
| IntelligenceHigher is better · MM Intelligence v1.2 | #5 of 2284.2 score | UnrankedNot in the 22-model eligible cohort |
| CostLower is better · Published-token output estimate | #32 of 36$0.341 per LiveBench case | #19 of 36$0.107 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.0 | #10 of 2252.7 score | UnrankedNot in the 22-model eligible cohort |
Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.
Benchmark Performance
Available Benchmarks
| Benchmark | GPT-5.5 | Qwen3.8-Max |
|---|---|---|
| LMArena Agent Arenaagent-2026-08-31-011508720696 · outcome_score · statistical tie | 4.8499% of row best · score · GPT 5.5; 95% CI [3.96340788, 5.71819765]; sessions 77762; observations 1908513; rank 18 | 6.01100% of row best · score · Qwen3.8 Max; 95% CI [4.88117795, 7.13339178]; sessions 18386; observations 1372080; rank 14 |
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,466.8099% of row best · rating · gpt-5.5; 95% CI [1462.99653821, 1470.60035247]; votes 64686; rank 27 | 1,479.56100% of row best · rating · qwen3.8-max; 95% CI [1473.34740586, 1485.77213629]; votes 13136; rank 12 |
| LMArena Vision Arenavision-2026-08-27-011508720696 · arena_rating · leader | 1,294.3699% of row best · rating · gpt-5.5-high; 95% CI [1287.65516407, 1301.05910249]; votes 20121; rank 18 | 1,312.86100% of row best · rating · qwen3.8-max; 95% CI [1304.57707433, 1321.13715544]; votes 7244; rank 6 |
| LiveBench2026-06-25 · overall · leader | 84.54100% of row best · percent · gpt-5.5-xhigh · 11,355 output tokens / case | 81.8897% of row best · percent · qwen3.8-max · 21,637 output tokens / case |
| ToneBench2026-08-28-10-task-cd9819ab6e4d · overall_score · leader | 81.53100% of row best · points · GPT-5.5 (none) · 3,805 output tokens / case | 81.0699% of row best · points · Qwen3.8 Max · 23,334 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above · 1 tie | 2 benchmark winsTied overall | 2 benchmark winsTied overall |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Technical Differences
Side-by-Side Facts
| Field | GPT-5.5 | Qwen3.8-Max |
|---|---|---|
| Developer | OpenAI | Qwen |
| Family | Gpt 5 5 | Qwen3 8 Max |
| Model | GPT-5.5 | Qwen3.8-Max |
| Version | GPT-5.5 | Qwen3.8-Max |
| Lifecycle | active | active |
| Released | 2026-04-23 | Unknown |
| Knowledge cutoff | 2025-12-01 | 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, structured_outputs, tools | agents, chat, reasoning, structured_outputs, tools, vision |
13 comparable fields · 8 material differences · Pair passes the primary-source comparison gate
GPT-5.5 Capabilities
Qwen3.8 Max Capabilities
Internal Comparison Graph
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Primary Evidence
Sources and Freshness
Questions
GPT-5.5 vs Qwen3.8 Max FAQs
Is GPT-5.5 or Qwen3.8 Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5.5 and Qwen3.8 Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GPT-5.5 or Qwen3.8 Max?+
GPT-5.5 is $5.00 and Qwen3.8 Max is $1.65 per million tokens, so Qwen3.8 Max is cheaper on this metric. GPT-5.5 is $30.00 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-5.5 or Qwen3.8 Max?+
GPT-5.5 has the larger sourced context window. GPT-5.5 supports 1,050K and Qwen3.8 Max supports 1,000K.
Which performs better in benchmarks, GPT-5.5 or Qwen3.8 Max?+
There is no overall benchmark winner: The verified common benchmarks do not produce a majority winner.
Can GPT-5.5 or Qwen3.8 Max be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. GPT-5.5 is not marked open weight; Qwen3.8 Max is not marked open weight.
Can GPT-5.5 and Qwen3.8 Max understand images?+
GPT-5.5 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-5.5 or Qwen3.8 Max?+
Qwen3.8 Max has the larger sourced maximum output: GPT-5.5 supports 128K and Qwen3.8 Max supports 131K output tokens.
Do GPT-5.5 and Qwen3.8 Max support reasoning and tool use?+
GPT-5.5: 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-5.5 or Qwen3.8 Max?+
GPT-5.5 has 2 sourced provider routes; Qwen3.8 Max has 4, so Qwen3.8 Max has broader tracked availability.
Which offers better value, GPT-5.5 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.