Compare / head-to-head
GPT-6 Astravs
Qwen3.5 0.8B
GPT-6 Astra and Qwen3.5 0.8B do not yet share a public benchmark, so quality cannot be compared apples-to-apples. GPT-6 Astra has the larger context window (1.1M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0
no overlap yet
Cheaper per token
—
list price, input + output
Larger context
GPT-6 Astra
1.1M tokens
Providers
2 providers
OpenAI · Qwen
GPT-6 Astra
OpenAI · released 2026-09-03
textvision
Qwen3.5 0.8B
Qwen · released 2026-03-02
textvisionvideo
- Context
- 262K
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 14 · 5 core
Quality
Benchmark matrix
0 shared · 33 only GPT-6 Astra · 14 only Qwen3.5 0.8B| Benchmark | GPT-6 Astra | Qwen3.5 0.8B | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 0 | ||||
| No public benchmark is reported for both models yet. | ||||
| Only GPT-6 Astra reports · 33 | ||||
| GPQA Diamond | 96% ↗ | not reported | — | — |
| LMArena Elo | 1477.1 ↗ | not reported | — | — |
| APEX-Agents (Mercor) | 64.7% ↗ | not reported | — | — |
| AutomationBench 1.0.6 | 41.4% ↗ | not reported | — | — |
| BALROG (BALROG) | 68.3% ↗ | not reported | — | — |
| Chess Puzzles (Epoch AI run) | 72% ↗epoch run | not reported | — | — |
| DeepSWE v1.1 (Datacurve) | 74.1% ↗ | not reported | — | — |
| EBR-bench (Epoch AI run) | 76.2% ↗epoch run | not reported | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | 97.6% ↗epoch run | not reported | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 93.7% ↗epoch run | not reported | — | — |
| FrontierSWE V2 (Proximal Labs) | 65.5% ↗ | not reported | — | — |
| Furniture Assembly (Epoch AI run) | 80% ↗epoch run | not reported | — | — |
| GSO Opt@1 (GSO) | 77.5% ↗ | not reported | — | — |
| LiveBench Agentic Coding (LiveBench) | 57.3% ↗ | not reported | — | — |
| LiveBench Coding (LiveBench) | 80.4% ↗ | not reported | — | — |
| LiveBench Data Analysis (LiveBench) | 83% ↗ | not reported | — | — |
| LiveBench Instruction Following (LiveBench) | 75.6% ↗ | not reported | — | — |
| LiveBench Language (LiveBench) | 89.4% ↗ | not reported | — | — |
| LiveBench Mathematics (LiveBench) | 96.8% ↗ | not reported | — | — |
| LiveBench Reasoning (LiveBench) | 92.7% ↗ | not reported | — | — |
| LMArena Agent (LMArena) | 0.1227 ↗ | not reported | — | — |
| LMArena Vision (LMArena) | 1284.3 ↗ | not reported | — | — |
| LMArena WebDev (LMArena) | 1787.7 ↗ | not reported | — | — |
| MirrorCode (Epoch AI run) | 46.7% ↗epoch run | not reported | — | — |
| Mystery Game Puzzles (Epoch AI run) | 84% ↗epoch run | not reported | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 100% ↗epoch run | not reported | — | — |
| SAGE (Vals AI) | 46.4% ↗ | not reported | — | — |
| SimpleBench (SimpleBench) | 86.5% ↗ | not reported | — | — |
| SimpleQA Verified | 75.6% ↗epoch run | not reported | — | — |
| Terminal-Bench 4.0 (Vals AI) | 59.6% ↗ | not reported | — | — |
| Terminal-Bench Science 0.1 | 64.6% ↗ | not reported | — | — |
| Vending-Bench 2 (Andon Labs) | 15514.7 ↗ | not reported | — | — |
| WeirdML (Håvard Tveit Ihle) | 93.6% ↗ | not reported | — | — |
| Only Qwen3.5 0.8B reports · 14 | ||||
| BFCL-V4 (thinking) | not reported | 25.3% ↗ | — | — |
| GPQA (thinking) | not reported | 11.9% ↗ | — | — |
| IFBench (thinking) | not reported | 21% ↗ | — | — |
| IFEval (non-thinking) | not reported | 52.1% ↗ | — | — |
| IFEval (thinking) | not reported | 44% ↗ | — | — |
| LongBench v2 (thinking) | not reported | 26.1% ↗ | — | — |
| MMLU-Pro (non-thinking) | not reported | 29.7% ↗ | — | — |
| MMLU-Pro (thinking) | not reported | 42.3% ↗ | — | — |
| MMLU-Redux (thinking) | not reported | 59.5% ↗ | — | — |
| MMMLU (thinking) | not reported | 44.3% ↗ | — | — |
| MMMU (thinking) | not reported | 49% ↗ | — | — |
| MMMU-Pro (thinking) | not reported | 31.2% ↗ | — | — |
| SuperGPQA (thinking) | not reported | 21.3% ↗ | — | — |
| TAU2-Bench (thinking) | not reported | 11.6% ↗ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is GPT-6 Astra minus Qwen3.5 0.8B in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | GPT-6 Astra | Qwen3.5 0.8B | Edge |
|---|---|---|---|
| Context window | 1.1M tokens | 262K tokens | GPT-6 Astra |
| Max output | 128K tokens | — | — |
| Input price / 1M | $10 ↗ | — | — |
| Output price / 1M | $50 ↗ | — | — |
| Cached input / 1M | $1 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $60 | — | — |
| Modalities | text · vision | text · vision · video | Qwen3.5 0.8B |
| Released | 2026-09-03 | 2026-03-02 | — |
| Cited benchmark scores | 39 | 14 | — |
Reliability
Provider status
Live from /statusMore matchups
GPT-6 Astra vs …
Models sharing the most benchmarksMore matchups
Qwen3.5 0.8B vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run GPT-6 Astra and Qwen3.5 0.8B on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.