GPT-6 Sol vs Qwen3.8 Max
At a Glance
| Compare |  GPT-6 SolOpenAI |  Qwen3.8 MaxQwen |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | UnrankedNot in the 57-model eligible cohort | #7 of 5783.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 55.6–88.9 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 27-model eligible cohort | #16 of 27$0.107 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.9 | UnrankedNot in the 27-model eligible cohort | #6 of 2758.6 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 44.7–61.3 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $2.00Openai ↗ · Sep 22, 2026 | $1.65Deepinfra ↗ · Oct 19, 2026 |
| Output priceFrom · USD / 1M tokens | $10.00Openai ↗ · Sep 22, 2026 | $4.951Deepinfra ↗ · Oct 19, 2026 |
| Context windowMaximum documented tokens | 1,050K | 1,000K |
| Model facts checked | Sep 22, 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-6 Sol | Qwen3.8-Max |
|---|---|---|
| LMArena Search Arenasearch-2026-10-13-0ebb411abf00 · arena_rating · leader | 1,174.9193% of row best · rating · gpt-6-sol-max; 95% CI [1167.83636087, 1181.98711987]; votes 11313; rank 26 | 1,261.08100% of row best · rating · qwen3.8-max; 95% CI [1247.89214823, 1274.26022415]; votes 1870; rank 2 |
| LMArena Text Arenatext-2026-10-15-0ebb411abf00 · arena_rating · leader | 1,398.0294% of row best · rating · gpt-6-sol-max; 95% CI [1391.69518333, 1404.34476736]; votes 12466; rank 156 | 1,482.88100% of row best · rating · qwen3.8-max; 95% CI [1477.92809424, 1487.82635626]; votes 27766; rank 17 |
| LiveBench2026-06-25-90f8d44da965 · overall · leader | 83.83100% of row best · percent · gpt-6-sol-max · 17,131 output tokens / case | 81.8898% of row best · percent · qwen3.8-max · 21,637 output tokens / case |
| ToneBench2026-10-17-10-task-e9c76358afb2 · overall_score · unverified | 83.52100% of row best · points · GPT-6 Sol (max) · 10,008 output tokens / case | 76.8392% of row best · points · Qwen3.8 Max (thinking on) · 29,839 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 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-6 Sol | Qwen3.8-Max |
|---|---|---|
| Developer | OpenAI | Qwen |
| Family | Gpt 6 | Qwen3 8 Max |
| Model | GPT-6 Sol | Qwen3.8-Max |
| Version | GPT-6 Sol | Qwen3.8-Max |
| Lifecycle | active | active |
| Released | 2026-09-22 | Unknown |
| Knowledge cutoff | 2026-04-20 | 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, computer-use, generation, reasoning, tools | agents, chat, reasoning, structured_outputs, tools, vision |
| Default snapshot | gpt-6-sol | Unknown |
| Maximum input tokens | 922000 | Unknown |
| Reasoning effort | none, low, medium, high, xhigh, max | Unknown |
| Supported API routes | v1/responses, v1/chat/completions, v1/batch | Unknown |
GPT-6 Sol Capabilities
Qwen3.8 Max Capabilities
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Primary Evidence
Sources and Freshness
Questions
GPT-6 Sol vs Qwen3.8 Max FAQs
Is GPT-6 Sol or Qwen3.8 Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GPT-6 Sol and Qwen3.8 Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GPT-6 Sol or Qwen3.8 Max?+
GPT-6 Sol is $2.00 and Qwen3.8 Max is $1.65 per million tokens, so Qwen3.8 Max is cheaper on this metric. GPT-6 Sol is $10.00 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-6 Sol or Qwen3.8 Max?+
GPT-6 Sol has the larger sourced context window. GPT-6 Sol supports 1,050,000 tokens and Qwen3.8 Max supports 1,000,000 tokens.
Which performs better in benchmarks, GPT-6 Sol or Qwen3.8 Max?+
Qwen3.8 Max leads the current overall benchmark count. The result uses 3 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can GPT-6 Sol or Qwen3.8 Max be self-hosted?+
Both models have the same sourced self-hosting status: unsupported. GPT-6 Sol is not marked open weight; Qwen3.8 Max is not marked open weight.
Can GPT-6 Sol and Qwen3.8 Max understand images?+
GPT-6 Sol 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-6 Sol or Qwen3.8 Max?+
Qwen3.8 Max has the larger sourced maximum output. GPT-6 Sol supports 128,000 tokens and Qwen3.8 Max supports 131,072 tokens.
Do GPT-6 Sol and Qwen3.8 Max support reasoning and tool use?+
GPT-6 Sol: 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-6 Sol or Qwen3.8 Max?+
GPT-6 Sol has 2 sourced provider routes; Qwen3.8 Max has 4, so Qwen3.8 Max has broader tracked availability.
Which offers better value, GPT-6 Sol 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.