Qwen3.8 Flash vs GLM 5.3 Flash
At a Glance
| Compare |  Qwen3.8 FlashQwen |  GLM 5.3 FlashZ.ai |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | #15 of 5767.5 score · 1/3 sources · single-source provisional · missing ARC-AGI-2, LMArena Text · full-core range 22.5–89.2 | #20 of 5756.2 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 37.5–70.8 |
| CostLower is better · Published-token output estimate | #5 of 27$0.021 per LiveBench case | #2 of 27$0.0087 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.9 | #3 of 2764.2 score · 1/3 sources · single-source provisional · missing ARC-AGI-2, LMArena Text · full-core range 41.7–75.0 | #2 of 2765.8 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 56.4–73.1 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.113Deepinfra ↗ · Oct 19, 2026 | $0.075Z.ai ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | $0.382Deepinfra ↗ · Oct 19, 2026 | $0.25Z.ai ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 1,000K | 1,000K |
| Model facts checked | Aug 29, 2026View model evidence → | Sep 2, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | Qwen3.8-Flash | GLM-5.3-Flash |
|---|---|---|
| LiveBench2026-06-25-90f8d44da965 · overall · leader | 79.12100% of row best · percent · qwen3.8-flash-next · 54,438 output tokens / case | 73.2793% of row best · percent · glm-5.3-flash · 34,707 output tokens / case |
| ToneBench2026-10-17-10-task-e9c76358afb2 · overall_score · unverified | 75.3092% of row best · points · Qwen3.8 Flash (thinking on) · 31,590 output tokens / case | 81.82100% of row best · points · GLM-5.3 Flash (max) · 40,301 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 1 benchmark winNo overall winner | 0 benchmark winsNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | Qwen3.8-Flash | GLM-5.3-Flash |
|---|---|---|
| Developer | Qwen | Z.ai |
| Family | Qwen3 8 Flash | Glm 5 3 Flash |
| Model | Qwen3.8-Flash | GLM-5.3-Flash |
| Version | Qwen3.8-Flash | GLM-5.3-Flash |
| Lifecycle | active | active |
| Released | Unknown | 2026-09-02 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video | Text, Image, Video, Document |
| Output modalities | Text | Text |
| Context window | 1,000K | 1,000K |
| Total parameters | Unknown | 320B |
| Active parameters | Unknown | 18B |
| License | Unknown | MIT |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Alibaba Cloud Model Studio (Standard), Deepinfra (Standard), Openrouter (Standard), Together Ai (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard) |
| Capabilities | agents, chat, computer-use, reasoning, structured_outputs, tools, vision | agents, chat, computer-use, reasoning, structured_outputs, tools, vision |
Qwen3.8 Flash Capabilities
GLM 5.3 Flash Capabilities
Related Comparisons
All image comparisons →| A | Pair | B | Context |
|---|---|---|---|
Qwen3.8-FlashQwen | vs | Qwen3.8-MaxQwen | family variantsimage, text, video |
 Gemini 3.8 FlashGoogle DeepMind | vs | Qwen3.8-FlashQwen | cross-developer peerstext |
Gemini 3.8 Flash CyberGoogle DeepMind | vs | Qwen3.8-FlashQwen | cross-developer peerstext |
 GPT-6 LunaOpenAI | vs | Qwen3.8-FlashQwen | cross-developer peersimage, text |
Gemini 3.5 Flash-LiteGoogle DeepMind | vs | Qwen3.8-FlashQwen | cross-developer peerstext |
Gemini 3.6 FlashGoogle DeepMind | vs | Qwen3.8-FlashQwen | cross-developer peerstext |
Gemini 3.7 FlashGoogle DeepMind | vs | Qwen3.8-FlashQwen | cross-developer peerstext |
 Muse Spark 1.3Meta | vs | Qwen3.8-FlashQwen | cross-developer peersimage, text, video |
| vs | Qwen3.8-FlashQwen | family variantstext | |
Qwen3.7 FlashQwen | vs | Qwen3.8-FlashQwen | family variantsimage, text, video |
Qwen3.7-PlusQwen | vs | Qwen3.8-FlashQwen | family variantsimage, text, video |
Qwen3.8-FlashQwen | vs | GLM-5V-TurboZ.ai | cross-developer peersimage, text, video |
Primary Evidence
Sources and Freshness
Questions
Qwen3.8 Flash vs GLM 5.3 Flash FAQs
Is Qwen3.8 Flash or GLM 5.3 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 Flash and GLM 5.3 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3.8 Flash or GLM 5.3 Flash?+
Qwen3.8 Flash is $0.113 and GLM 5.3 Flash is $0.075 per million tokens, so GLM 5.3 Flash is cheaper on this metric. Qwen3.8 Flash is $0.382 and GLM 5.3 Flash is $0.25 per million tokens, so GLM 5.3 Flash is cheaper on this metric.
Which has a larger context window, Qwen3.8 Flash or GLM 5.3 Flash?+
Both models have the same sourced context window: 1,000,000 tokens each.
Which performs better in benchmarks, Qwen3.8 Flash or GLM 5.3 Flash?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Qwen3.8 Flash or GLM 5.3 Flash be self-hosted?+
GLM 5.3 Flash is documented as self-hostable; Qwen3.8 Flash is documented as not self-hostable. Qwen3.8 Flash is not marked open weight; GLM 5.3 Flash is open weight.
Can Qwen3.8 Flash and GLM 5.3 Flash understand images?+
Qwen3.8 Flash is documented with image input; GLM 5.3 Flash is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3.8 Flash or GLM 5.3 Flash?+
Both models have the same sourced maximum output: 131,072 tokens each.
Do Qwen3.8 Flash and GLM 5.3 Flash support reasoning and tool use?+
Qwen3.8 Flash: reasoning, tool calling, and image input. GLM 5.3 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3.8 Flash or GLM 5.3 Flash?+
Qwen3.8 Flash has 4 sourced provider routes; GLM 5.3 Flash has 4, a tie.
Which offers better value, Qwen3.8 Flash or GLM 5.3 Flash?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.