Mistral Large 3 vs GLM 5.3 Flash
At a Glance
| Compare |  Mistral Large 3Mistral AI |  GLM 5.3 FlashZ.ai |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | #28 of 5743.0 score · 1/3 sources · single-source provisional · missing LiveBench, ARC-AGI-2 · full-core range 14.3–81.0 | #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 | UnrankedNot in the 27-model eligible cohort | #2 of 27$0.0087 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.9 | UnrankedNot in the 27-model eligible cohort | #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 | $0.25Openrouter ↗ · Oct 19, 2026 | $0.075Z.ai ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | $0.75Openrouter ↗ · Oct 19, 2026 | $0.25Z.ai ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 262K | 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 | Mistral Large 3 | GLM-5.3-Flash |
|---|---|---|
| LMArena Text Arenatext-2026-10-15-a64ca3b12b6e · arena_rating · leader | 1,428.1697% of row best · rating · mistral-large-3; 95% CI [1425.33671505, 1430.99053174]; votes 84205; rank 98 | 1,470.53100% of row best · rating · glm-5.3-flash; 95% CI [1465.67476412, 1475.38456118]; votes 32925; rank 29 |
| LMArena Vision Arenavision-2026-10-09-a64ca3b12b6e · arena_rating · leader | 1,220.7694% of row best · rating · mistral-large-3; 95% CI [1212.81813492, 1228.69335345]; votes 8643; rank 83 | 1,296.03100% of row best · rating · glm-5.3-flash; 95% CI [1288.97978191, 1303.07121064]; votes 11157; rank 23 |
| ToneBench2026-10-17-10-task-e9c76358afb2 · overall_score · unverified | 61.7876% of row best · points · Mistral Large 3 (no thinking) · 2,031 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 | 0 benchmark winsNo overall winner | 2 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 | 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 | 262K | 1,000K |
| Total parameters | 675B | 320B |
| Active parameters | 41B | 18B |
| 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), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard) |
| Capabilities | agents, chat, generation, structured_outputs, tools, vision | agents, chat, computer-use, reasoning, structured_outputs, tools, vision |
Mistral Large 3 Capabilities
GLM 5.3 Flash Capabilities
Related Comparisons
All image comparisons →| A | Pair | B | Context |
|---|---|---|---|
Mistral Large 3Mistral AI | vs |  Hy4 previewTencent | cross-developer peerstext |
Mistral Large 3Mistral AI | vs | Mistral Large 4Mistral AI | family variantsimage, text |
| vs | Mistral Large 3Mistral AI | cross-developer peersimage, text | |
| vs | Mistral Large 3Mistral AI | cross-developer peersimage, text | |
 MolmoWeb 4BAi2 | vs | Mistral Large 3Mistral AI | cross-developer peersimage, text |
 Command A VisionCohere | vs | Mistral Large 3Mistral AI | cross-developer peersimage, text |
 DeepSeek-V3DeepSeek | vs | Mistral Large 3Mistral AI | cross-developer peerstext |
| vs | Mistral Large 3Mistral AI | cross-developer peersimage, text | |
Mistral-Medium-3.5-128BMistral AI | vs | Mistral Large 3Mistral AI | family variantsimage, text |
Mistral-Small-4-119B-2603Mistral AI | vs | Mistral Large 3Mistral AI | family variantsimage, text |
Mistral Large 3Mistral AI | vs | Pixtral LargeMistral AI | developer peersimage, text |
Mistral Large 3Mistral AI | vs |  Inkling-SmallThinking Machines Lab | 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 $0.25 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 $0.75 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 tokens and GLM 5.3 Flash supports 1,000,000 tokens.
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 sourced 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?+
GLM 5.3 Flash has a sourced maximum output of 131,072 tokens; Mistral Large 3's maximum output is not reported. A larger limit cannot be determined.
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 4, so GLM 5.3 Flash has broader tracked availability.
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.