AI model comparison
GPT-6 Sol vs GLM 5.3
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
OpenAI
GPT-6 Sol
GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier.
- Input / 1M
- $2
- Output / 1M
- $10
- Context
- 1.05M
Z.ai
GLM 5.3
GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks.
- Input / 1M
- $0.04
- Output / 1M
- $7
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GLM 5.3
2.5x cheaper for a typical chat
Higher intelligence score
GPT-6 Sol
47.6 vs 44.8 on Artificial Analysis
Larger context window
GPT-6 Sol
1.05M vs 1.05M tokens
Newer release
GPT-6 Sol
Released September 22, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
GPT-6 Sol47.6Coding index
GPT-6 SolNot availableAgentic index
GPT-6 SolNot availablePricing
GPT-6 Sol vs GLM 5.3 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | GPT-6 Sol | |
|---|---|---|
| Input tokensPer 1M tokens | $2 | $0.04 |
| Output tokensPer 1M tokens | $10 | $7 |
| Cached input (read)Per 1M tokens | $0.20 | $0.04 |
| Cache writePer 1M tokens | $2.50 | Not available |
| Long-context pricingPer 1M tokens, for very long prompts | $4 in / $15 out above 272K | Same rate at any length |
| Web searchPer request | $0.01 | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
GPT-6 Sol$9Coding task
30K in, 4K out
GPT-6 Sol$100$46 cachedLong document summary
150K in, 2K out
GPT-6 Sol$320$50 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | GPT-6 Sol | |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 128K tokens | 944K tokens |
| Input types | File, Image, Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, Extra high, High, Medium, Low, None | Max, High, Low |
| Default reasoning effort | Medium | Max |
| Release date | September 22, 2026 | August 18, 2026 |
Features
Supported features
API features available for each model.
| Metric | GPT-6 Sol | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Not supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
GPT-6 SolView full model details- GPT-6 Sol vs Claude Opus 5.5
- GPT-6 Sol vs Claude Sonnet 5.5
- GPT-6 Sol vs Claude Fable 5.1
- GPT-6 Sol vs GPT-6 Astra
- GPT-6 Sol vs GPT-6.1 Sol
- GPT-6 Sol vs Claude Opus 5
- GPT-6 Sol vs Claude Fable 5
- GPT-6 Sol vs Muse Spark 1.3
- GPT-6 Sol vs GPT-5.6 Sol
- GPT-6 Sol vs Grok 4.7
- GPT-6 Sol vs Qwen3.8 Max (0902)
- GPT-6 Sol vs Grok 4.6
- GPT-6 Sol vs Kimi K3
- GPT-6 Sol vs GPT-5.6 Terra
- GLM 5.3 vs DeepSeek V4.1 Flash
- GLM 5.3 vs GLM 5.3 Flash
- GLM 5.3 vs MiMo-V2.6-Flash
- GLM 5.3 vs Hy4 preview
- GLM 5.3 vs GPT-6 Luna
- GLM 5.3 vs Claude Opus 5.5
- GLM 5.3 vs DeepSeek V4 Flash 0731
- GLM 5.3 vs Claude Sonnet 5.5
- GLM 5.3 vs GPT-6 Astra
- GLM 5.3 vs DeepSeek V4 Flash 0423
- GLM 5.3 vs GPT-6.1 Sol
- GLM 5.3 vs Step 5 Preview
- GLM 5.3 vs Gemini 3.8 Flash
- GLM 5.3 vs Hy3
- GLM 5.3 vs Muse Spark 1.3
- GLM 5.3 vs Kimi K3
- GLM 5.3 vs GPT-5.6 Sol
- GLM 5.3 vs Grok 4.7
- GLM 5.3 vs MiMo-V2.6-Pro
- GLM 5.3 vs Qwen3.8 Max (0902)
- GLM 5.3 vs GLM 5.2
- GLM 5.3 vs Grok 4.6
- GLM 5.3 vs Claude Haiku 5.5
- GLM 5.3 vs GPT-5.6 Terra
- GLM 5.3 vs Claude Opus 4.8
- GLM 5.3 vs Ling 3.1 Flash
- GLM 5.3 vs Claude Opus 4.7
- GLM 5.3 vs Qwen3.8 2.4T A95B
- GLM 5.3 vs Gemini 3.7 Flash
- GLM 5.3 vs Muse Spark 1.2
- GLM 5.3 vs Grok 4.5
Our take
GLM 5.3 is 2.5x cheaper for a typical chat. GPT-6 Sol scores higher on the Artificial Analysis Intelligence Index (47.6 vs 44.8). GPT-6 Sol has the larger context window (1.05M vs 1.05M tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is GPT-6 Sol or GLM 5.3 cheaper?
GLM 5.3 is cheaper for a typical chat (2K input tokens and 500 output tokens). GLM 5.3 costs $0.04 per 1M input tokens and $7 per 1M output tokens, while GPT-6 Sol costs $2 per 1M input tokens and $10 per 1M output tokens.
Which has a bigger context window, GPT-6 Sol or GLM 5.3?
GPT-6 Sol supports up to 1.05M tokens of context, compared with 1.05M for GLM 5.3.
Is GPT-6 Sol smarter than GLM 5.3?
On the Artificial Analysis Intelligence Index, GPT-6 Sol scores 47.6 and GLM 5.3 scores 44.8, putting GPT-6 Sol ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use GPT-6 Sol and GLM 5.3 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GPT-6 Sol and GLM 5.3 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GPT-6 Sol and GLM 5.3 at the same time. Compare the answers side by side and keep the best one.