Mistral Large 3 vs GLM-5.3-Flash
Benchmark Performance
Available Benchmarks
| Benchmark | Mistral Large 3 | GLM-5.3-Flash |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,427.6297% of row best · rating · mistral-large-3; 95% CI [1424.57601414, 1430.66670291]; votes 65336; rank 85 | 1,470.91100% of row best · rating · glm-5.3-flash; 95% CI [1461.80526636, 1480.01283657]; votes 4399; rank 23 |
| LMArena Vision Arenavision-2026-08-27-011508720696 · arena_rating · leader | 1,226.8495% of row best · rating · mistral-large-3; 95% CI [1216.90651393, 1236.78308197]; votes 4751; rank 66 | 1,296.37100% of row best · rating · glm-5.3-flash; 95% CI [1279.58251138, 1313.15015420]; votes 1389; rank 15 |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark wins | 2 benchmark winsOverall lead |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Technical Differences
Side-by-Side Facts
| Field | Mistral Large 3 | GLM-5.3-Flash |
|---|---|---|
| Developer | Mistral AI | Z.ai |
| Family | Mistral Large 3 | Glm 5 3 Flash |
| Model | Mistral Large 3 | GLM-5.3-Flash |
| Version | Mistral Large 3 | GLM-5.3-Flash |
| Lifecycle | active | active |
| Released | 2025-12-02 | 2026-09-02 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Document | Text, Image, Video, Document |
| Output modalities | Text | Text |
| Context window | 262,144 | 1,000,000 |
| Total parameters | 675,000,000,000 | 320,000,000,000 |
| Active parameters | 41,000,000,000 | 18,000,000,000 |
| License | Apache-2.0 | MIT |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Mistral AI (Standard), Openrouter (Standard) | Deepinfra (Standard), Z.ai (Standard) |
| Capabilities | agents, chat, generation, structured_outputs, tools, vision | agents, chat, computer-use, reasoning, structured_outputs, tools, vision |
17 comparable fields · 12 material differences · Pair passes the primary-source comparison gate
Mistral Large 3 Capabilities
GLM-5.3-Flash Capabilities
Internal Comparison Graph
Related Comparisons
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|---|---|---|---|
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Mistral Large 3Mistral AI | vs |  Hy4 previewTencent | cross-developer peerstext |
GLM-5.3-FlashZ.ai | vs | GLM-5V-TurboZ.ai | family variantsimage, text, video |
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 Command A VisionCohere | vs | GLM-5.3-FlashZ.ai | cross-developer peersimage, text |
Mistral-Medium-3.5-128BMistral AI | vs | Mistral Large 3Mistral AI | family variantsimage, text |
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GLM-OCRZ.ai | vs | GLM-5.3-FlashZ.ai | family variantsimage, text |
DeepSeek-V4-Flash-Vision-ExpDeepSeek | vs | Mistral Large 3Mistral AI | cross-developer peersimage, text |
| vs | Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Mistral Large 3 vs GLM-5.3-Flash FAQs
Is Mistral Large 3 or GLM-5.3-Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Mistral Large 3 and GLM-5.3-Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Mistral Large 3 or GLM-5.3-Flash?+
Mistral Large 3 is $0.50 and GLM-5.3-Flash is $0.075 per million tokens, so GLM-5.3-Flash is cheaper on this metric. Mistral Large 3 is $1.50 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, Mistral Large 3 or GLM-5.3-Flash?+
GLM-5.3-Flash has the larger sourced context window. Mistral Large 3 supports 262,144 and GLM-5.3-Flash supports 1,000,000.
Which performs better in benchmarks, Mistral Large 3 or GLM-5.3-Flash?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can Mistral Large 3 or GLM-5.3-Flash be self-hosted?+
Both models have the same recorded self-hosting status: supported. Mistral Large 3 is open weight; GLM-5.3-Flash is open weight.
Can Mistral Large 3 and GLM-5.3-Flash understand images?+
Mistral Large 3 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, Mistral Large 3 or GLM-5.3-Flash?+
Neither has a larger sourced maximum output. Mistral Large 3 is — and GLM-5.3-Flash is 131,072.
Do Mistral Large 3 and GLM-5.3-Flash support reasoning and tool use?+
Mistral Large 3: 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, Mistral Large 3 or GLM-5.3-Flash?+
Mistral Large 3 has 2 sourced provider routes; GLM-5.3-Flash has 2, a tie.
Which offers better value, Mistral Large 3 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.