AI model comparison
Qwen3.8 2.4T A95B vs GPT-5.6 Terra
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total.
- Input / 1M
- $2
- Output / 1M
- $6
- Context
- 1.05M
OpenAI
GPT-5.6 Terra
GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier.
- Input / 1M
- $2
- Output / 1M
- $12
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3.8 2.4T A95B
1.4x cheaper for a typical chat
Higher intelligence score
GPT-5.6 Terra
42.1 vs 39.9 on Artificial Analysis
Larger context window
GPT-5.6 Terra
1.05M vs 1.05M tokens
Newer release
Qwen3.8 2.4T A95B
Released August 12, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.8 2.4T A95B39.9GPT-5.6 Terra42.1Coding index
Qwen3.8 2.4T A95B71.9GPT-5.6 Terra76.7Agentic index
Qwen3.8 2.4T A95B50.1GPT-5.6 Terra43.2Pricing
Qwen3.8 2.4T A95B vs GPT-5.6 Terra API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.8 2.4T A95B | GPT-5.6 Terra |
|---|---|---|
| Input tokensPer 1M tokens | $2 | $2 |
| Output tokensPer 1M tokens | $6 | $12 |
| Cached input (read)Per 1M tokens | $0.25 | $0.20 |
| Cache writePer 1M tokens | Not available | $2.50 |
| Long-context pricingPer 1M tokens, for very long prompts | Same rate at any length | $4 in / $18 out above 272K |
| Web searchPer request | Not available | $0.01 |
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
Qwen3.8 2.4T A95B$7GPT-5.6 Terra$10Coding task
30K in, 4K out
Qwen3.8 2.4T A95B$84$31.50 cachedGPT-5.6 Terra$108$54 cachedLong document summary
150K in, 2K out
Qwen3.8 2.4T A95B$312$49.50 cachedGPT-5.6 Terra$324$54 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3.8 2.4T A95B | GPT-5.6 Terra |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 131K tokens | 128K tokens |
| Input types | Text | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Extra high, Medium, Low | Max, Extra high, High, Medium, Low, None |
| Default reasoning effort | Extra high | Medium |
| Release date | August 12, 2026 | July 9, 2026 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.8 2.4T A95B | GPT-5.6 Terra |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Not supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Qwen3.8 2.4T A95BView full model details- Qwen3.8 2.4T A95B vs Qwen3.8 Max (0902)
- Qwen3.8 2.4T A95B vs GLM 5.3
- Qwen3.8 2.4T A95B vs Kimi K3
- Qwen3.8 2.4T A95B vs Gemini 3.8 Flash
- Qwen3.8 2.4T A95B vs Gemini 3.7 Flash
- Qwen3.8 2.4T A95B vs Muse Spark 1.2
- Qwen3.8 2.4T A95B vs DeepSeek V4.1 Flash
- Qwen3.8 2.4T A95B vs Grok 4.5
- Qwen3.8 2.4T A95B vs Claude Sonnet 5
GPT-5.6 TerraView full model details- GPT-5.6 Terra vs GPT-6 Sol
- GPT-5.6 Terra vs GPT-5.6 Sol
- GPT-5.6 Terra vs GLM 5.3
- GPT-5.6 Terra vs Grok 4.6
- GPT-5.6 Terra vs Kimi K3
- GPT-5.6 Terra vs Claude Opus 4.8
- GPT-5.6 Terra vs Ling 3.1 Flash
- GPT-5.6 Terra vs Gemini 3.8 Flash
- GPT-5.6 Terra vs Claude Opus 4.7
- GPT-5.6 Terra vs DeepSeek V4.1 Flash
- GPT-5.6 Terra vs GPT-5.4
- GPT-5.6 Terra vs GPT-5.5
- GPT-5.6 Terra vs Claude Sonnet 5
Our take
Qwen3.8 2.4T A95B is 1.4x cheaper for a typical chat. GPT-5.6 Terra scores higher on the Artificial Analysis Intelligence Index (42.1 vs 39.9). GPT-5.6 Terra 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 Qwen3.8 2.4T A95B or GPT-5.6 Terra cheaper?
Qwen3.8 2.4T A95B is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3.8 2.4T A95B costs $2 per 1M input tokens and $6 per 1M output tokens, while GPT-5.6 Terra costs $2 per 1M input tokens and $12 per 1M output tokens.
Which has a bigger context window, Qwen3.8 2.4T A95B or GPT-5.6 Terra?
GPT-5.6 Terra supports up to 1.05M tokens of context, compared with 1.05M for Qwen3.8 2.4T A95B.
Is Qwen3.8 2.4T A95B smarter than GPT-5.6 Terra?
On the Artificial Analysis Intelligence Index, Qwen3.8 2.4T A95B scores 39.9 and GPT-5.6 Terra scores 42.1, putting GPT-5.6 Terra ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Qwen3.8 2.4T A95B and GPT-5.6 Terra at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3.8 2.4T A95B and GPT-5.6 Terra answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3.8 2.4T A95B and GPT-5.6 Terra at the same time. Compare the answers side by side and keep the best one.