Chatbots · Head-to-head
GPT-5.6 Sol vs Qwen 3.8 Max
GPT-5.6 Sol (paid, AI Score 9.1/10) vs Qwen 3.8 Max (paid, AI Score 8.7/10). Side-by-side pricing, features, pros and cons, and which to pick.
The verdict
Pick GPT-5.6 Sol if…
- →overall capability matters more than price (AI Score 9.1 vs 8.7)
- →your primary use case is development and agentic-workflow teams evaluating a frontier model family they can route by task difficulty and token cost.
- →you need: development, agents
Side-by-side specs
| Spec | GPT-5.6 Sol | Qwen 3.8 Max |
|---|---|---|
| Category | Chatbots | Chatbots |
| Pricing model | paid | paid |
| Headline pricing | API usage-based: Sol $5/$30, Terra $2.50/$15, Luna $1/$6 per 1M tokens | $2 / $6 per 1M tokens (input/output); open weights announced |
| Free tier | — | None announced for the API at launch. If the open weights ship as promised, self-hosting would be free of licence cost — but a 2.4T-parameter model carries serious compute requirements. |
| AI Score | 9.1/10 | 8.7/10 |
| Best for | Development and agentic-workflow teams evaluating a frontier model family they can route by task difficulty and token cost. | — |
| Editor's pick | ✓ Yes | ✓ Yes |
| Use cases | development agents | — |
| Date added | 2026-06-27 | 2026-08-03 |
Pros and cons
GPT-5.6 Sol
Chatbots · paid
Pros
- ✓Three-tier family lets you match model cost to task difficulty instead of overpaying
- ✓Claimed state-of-the-art on Terminal-Bench, a meaningful real-world coding/agentic benchmark
- ✓Luna tier ($1/$6 per 1M tokens) is genuinely cheap for a current-generation model
- ✓Strong focus on agentic, long-horizon workflows rather than just chat
Cons
- ×Launched in limited preview — not broadly available, so you can't reliably build production on it yet
- ×Sol's $5/$30 pricing is premium; costs add up fast on token-heavy agentic loops
- ×Cybersecurity/dual-use framing and gov coordination signal tighter usage gating than a normal release
- ×Benchmark claims are vendor-reported at launch; independent verification is still pending
Qwen 3.8 Max
Chatbots · paid
Pros
- ✓$2/$6 per million tokens undercuts closed frontier list pricing substantially, which compounds in token-hungry agentic loops
- ✓API was live on announcement day rather than gated behind a waitlist
- ✓Open weights announced for the following week — unprecedented at this parameter scale if it lands
- ✓Native multimodal input in the same checkpoint, no separate vision model to route to
- ✓Explicitly tuned for terminal and repository work rather than retrofitted for it
Cons
- ×TerminalBench 86.6 and the rest of the benchmark table are vendor-reported with no independent replication at time of writing
- ×Open weights are a dated promise, not a shipped artefact — judge it when the download exists
- ×2.4T total parameters puts practical self-hosting out of reach for individuals and small teams even once weights are public
- ×China-hosted inference raises data-residency questions that regulated buyers will need to resolve before adoption
Related comparisons
Updated 2026-08-03. Spec data sourced from official product pages and tracked in our public directory at /tools.