# GPT-6 Sol vs Qwen3.8 Max

As of November 10, 2026, GPT-6 Sol and Qwen3.8 Max cost the same per input token ($2.00 per 1M), but GPT-6 Sol costs 67% more per output token ($10.00 vs $6.00) and has a 922K-token context window versus 992K.

- Page: https://models.litellm.ai/compare/gpt-6-sol-vs-qwen3.8-max
- GPT-6 Sol: https://models.litellm.ai/models/gpt-6-sol
- Qwen3.8 Max: https://models.litellm.ai/models/qwen3.8-max

## Side by side

| | GPT-6 Sol | Qwen3.8 Max |
|---|---|---|
| Input, per 1M tokens | $2.00 | $2.00 |
| Output, per 1M tokens | $10.00 | $6.00 |
| Cache read, per 1M tokens | $0.20 | $0.25 |
| Cache write, per 1M tokens | $2.50 | – |
| Context window | 922,000 tokens | 991,808 tokens |
| Max output | 128,000 tokens | 131,072 tokens |
| Image input | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output (JSON) | Yes | Yes |
| Prompt caching | Yes | Yes |
| Reasoning | Yes | Yes |
| Providers on LiteLLM | 10 | 12 |
| Price shown is from | OpenAI | Alibaba Cloud Model Studio |
| Added to LiteLLM | September 22, 2026 | August 7, 2026 |

Headline prices in USD per 1M tokens, from LiteLLM's model price file.

## Cheapest provider for each

- GPT-6 Sol: Databricks at $2.00 input per 1M tokens (`databricks/databricks-gpt-6-sol`)
- Qwen3.8 Max: DeepInfra at $1.65 input per 1M tokens (`deepinfra/Qwen/Qwen3.8-Max`)

## Benchmark scores

| Benchmark | GPT-6 Sol | Qwen3.8 Max |
|---|---|---|
| APEX-Agents (Coding and agents) | 54.3% (max) | 63.3% |
| GPQA Diamond (Reasoning and knowledge) | 94.3% (max) | 92.7% (xhigh) |
| SimpleQA Verified (Reasoning and knowledge) | 60.7% (max) | 45.8% (xhigh) |
| FrontierMath (tiers 1-3) (Math) | 89.8% (max) | 74.7% (xhigh) |
| FrontierMath (tier 4) (Math) | 90.0% (max) | 46.3% (xhigh) |
| OTIS Mock AIME 2024-2025 (Math) | 100.0% (max) | 99.4% (xhigh) |

From the Epoch AI Benchmarking Hub (https://epoch.ai/benchmarks), CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/), data as of September 22, 2026: Epoch's own runs and results it collects from each benchmark's leaderboard. Higher is better.

## When to pick which

- Qwen3.8 Max: Costs 40% less per output token: $6.00 vs $10.00 per 1M.

## FAQ

### Which is cheaper, GPT-6 Sol or Qwen3.8 Max?

Qwen3.8 Max is cheaper at 3 input tokens per output token: $3.00 per 1M tokens blended ($2.00 input, $6.00 output), versus $4.00 ($2.00 and $10.00) for GPT-6 Sol, as of November 10, 2026.

### Which has the larger context window, GPT-6 Sol or Qwen3.8 Max?

Qwen3.8 Max has the larger context window: 991,808 tokens, versus 922,000 for GPT-6 Sol.

### Can I switch from GPT-6 Sol to Qwen3.8 Max without changing my code?

Yes. Through LiteLLM both use the OpenAI format, so switching means changing the model name from "gpt-6-sol" to "dashscope/qwen3.8-max", or pointing a LiteLLM gateway model alias at the other model. You can also use one as a fallback for the other.