Compare / head-to-head
GLM-5.3vs
Qwen3.8-Flash-Next
Qwen3.8-Flash-Next leads 7 of 11 shared benchmarks. Both offer a 1M-token context window.
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
3 – 7
Qwen3.8-Flash-Next leads · 1 tied
Cheaper per token
—
list price, input + output
Larger context
Tie
both 1M tokens
Providers
2 providers
Z.ai · Qwen
GLM-5.3
Z.ai · released 2026-08-18
text
textvision
- Context
- 1M
- Max out
- —
- Input /1M
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- Output /1M
- —
- Cached /1M
- —
- Scores
- 22 · 6 core
Quality
Benchmark matrix
11 shared · 32 only GLM-5.3 · 11 only Qwen3.8-Flash-Next| Benchmark | GLM-5.3 | Qwen3.8-Flash-Next | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 11 | ||||
| GPQA Diamond | 90.9% ↗epoch run | 91.7% ↗ | -0.8 pt | Qwen3.8-Flash-Next |
| LiveBench Agentic Coding (LiveBench) | 60.9% ↗ | 61.6% ↗ | -0.7 pt | Qwen3.8-Flash-Next |
| LiveBench Coding (LiveBench) | 79% ↗ | 72.6% ↗ | +6.4 pt | GLM-5.3 |
| LiveBench Data Analysis (LiveBench) | 70.2% ↗ | 74.2% ↗ | -4 pt | Qwen3.8-Flash-Next |
| LiveBench Instruction Following (LiveBench) | 69.3% ↗ | 77.1% ↗ | -7.8 pt | Qwen3.8-Flash-Next |
| LiveBench Language (LiveBench) | 79.9% ↗ | 74.6% ↗ | +5.3 pt | GLM-5.3 |
| LiveBench Mathematics (LiveBench) | 87.9% ↗ | 85.8% ↗ | +2.1 pt | GLM-5.3 |
| LiveBench Reasoning (LiveBench) | 85.8% ↗ | 87.4% ↗ | -1.6 pt | Qwen3.8-Flash-Next |
| LMArena Agent (LMArena) | 0.0236 ↗ | -0.0073 ↗ | 0 | Tie |
| LMArena WebDev (LMArena) | 1623 ↗ | 1637.5 ↗ | -14.5 | Qwen3.8-Flash-Next |
| Toolathlon Verified | 73% ↗ | 73.5% ↗ | -0.5 pt | Qwen3.8-Flash-Next |
| Only GLM-5.3 reports · 32 | ||||
| LMArena Elo | 1478.5 ↗ | not reported | — | — |
| Agents' Last Exam | 28.5% ↗ | not reported | — | — |
| Agents' Last Exam (ALE-CLI) | 28.5% ↗ | not reported | — | — |
| APEX-Agents (Mercor) | 56.6% ↗ | not reported | — | — |
| AutomationBench v1.0.6 | 48.2% ↗ | not reported | — | — |
| Chess Puzzles (Epoch AI run) | 21% ↗epoch run | not reported | — | — |
| CyberGym | 84.5% ↗ | not reported | — | — |
| DeepSWE v1.1 | 66.9% ↗ | not reported | — | — |
| DeepSWE v1.1 (Datacurve) | 69% ↗ | not reported | — | — |
| ExploitBench | 54.4% ↗ | not reported | — | — |
| ExploitGym 2h | 105 ↗ | not reported | — | — |
| ExploitGym 6h | 130 ↗ | not reported | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | 29.3% ↗epoch run | not reported | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 68.8% ↗epoch run | not reported | — | — |
| FrontierSWE | 78.1% ↗ | not reported | — | — |
| FrontierSWE V2 (Proximal Labs) | 30.2% ↗ | not reported | — | — |
| GDPval-AA v2 | 1769 ↗ | not reported | — | — |
| HLE (with tools) | 62.5% ↗ | not reported | — | — |
| Mystery Game Puzzles (Epoch AI run) | 33% ↗epoch run | not reported | — | — |
| NL2Repo | 58% ↗ | not reported | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 91.1% ↗epoch run | not reported | — | — |
| PostTrainBench | 39.8% ↗ | not reported | — | — |
| ProgramBench (Almost Solved) | 19% ↗ | not reported | — | — |
| SimpleBench (SimpleBench) | 66.2% ↗ | not reported | — | — |
| SimpleQA Verified | 41% ↗epoch run | not reported | — | — |
| SWE-Marathon v1.1 | 42.5% ↗ | not reported | — | — |
| Terminal-Bench 2.1 | 88.2% ↗ | not reported | — | — |
| Terminal-Bench 3.0 | 28.3% ↗ | not reported | — | — |
| Terminal-Bench 4.0 (Vals AI) | 38.9% ↗ | not reported | — | — |
| Vending-Bench 2 (Andon Labs) | 8163.61 ↗ | not reported | — | — |
| WeirdML (Håvard Tveit Ihle) | 75.4% ↗ | not reported | — | — |
| Z.ai Code Bench (max effort) | 34.5% ↗ | not reported | — | — |
| Only Qwen3.8-Flash-Next reports · 11 | ||||
| Agents' Last Exam Pass@1 | not reported | 24.3% ↗ | — | — |
| Agents' Last Exam Score | not reported | 51.2 ↗ | — | — |
| CoWorkBench | not reported | 73.9% ↗ | — | — |
| DeepSWE 1.1 | not reported | 58.7% ↗ | — | — |
| Humanity's Last Exam | not reported | 35.9% ↗ | — | — |
| IFBench | not reported | 81.3% ↗ | — | — |
| JobBench | not reported | 55.7% ↗ | — | — |
| LiveCodeBench v6 | not reported | 91.9% ↗ | — | — |
| NL2Repo-Bench | not reported | 48.1% ↗ | — | — |
| SWE-bench Multilingual | not reported | 81% ↗ | — | — |
| SWE-bench Pro | not reported | 62.5% ↗ | — | — |
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 GLM-5.3 minus Qwen3.8-Flash-Next 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 | GLM-5.3 | Qwen3.8-Flash-Next | Edge |
|---|---|---|---|
| Context window | 1M tokens | 1M tokens | Tie |
| Max output | 131K tokens | — | — |
| Input price / 1M | $1.4 ↗ | — | — |
| Output price / 1M | $4.4 ↗ | — | — |
| Cached input / 1M | $0.26 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $5.8 | — | — |
| Modalities | text | text · vision | Qwen3.8-Flash-Next |
| Released | 2026-08-18 | — | — |
| Cited benchmark scores | 57 | 22 | — |
Reliability
Provider status
Live from /statusMore matchups
GLM-5.3 vs …
Models sharing the most benchmarksMore matchups
Qwen3.8-Flash-Next vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run GLM-5.3 and Qwen3.8-Flash-Next on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.