Mistral Large 3 vs Hy4 preview
At a Glance
| Compare | Mistral Large 3Mistral AI | Hy4 previewTencent |
|---|---|---|
| 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 | UnrankedNot in the 57-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.25Openrouter ↗ · Oct 19, 2026 | $0.834Deepinfra ↗ · Oct 19, 2026 |
| Output priceFrom · USD / 1M tokens | $0.75Openrouter ↗ · Oct 19, 2026 | $2.501Deepinfra ↗ · Oct 19, 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
Side-by-Side Facts
| Field | Mistral Large 3 | Hy4 preview |
|---|---|---|
| Developer | Mistral AI | Tencent |
| Family | Mistral Large 3 | Hy4 |
| Model | Mistral Large 3 | Hy4 preview |
| Version | Mistral Large 3 | Hy4 preview |
| Lifecycle | active | preview |
| Released | 2025-12-02 | 2026-08-28 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Document | Text |
| Output modalities | Text | Text |
| Context window | 262K | 1,000K |
| Total parameters | 675B | 770B |
| Active parameters | 41B | 49B |
| License | Apache-2.0 | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Mistral AI (Standard), Openrouter (Standard) | Deepinfra (Standard), Openrouter (Standard) |
| Capabilities | agents, chat, generation, structured_outputs, tools, vision | chat, generation, reasoning, tools |
Mistral Large 3 Capabilities
Hy4 preview Capabilities
Primary Evidence
Sources and Freshness
Questions
Mistral Large 3 vs Hy4 preview FAQs
Is Mistral Large 3 or Hy4 preview better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Mistral Large 3 and Hy4 preview, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Mistral Large 3 or Hy4 preview?+
Mistral Large 3 is $0.25 and Hy4 preview is $0.834 per million tokens, so Mistral Large 3 is cheaper on this metric. Mistral Large 3 is $0.75 and Hy4 preview is $2.501 per million tokens, so Mistral Large 3 is cheaper on this metric.
Which has a larger context window, Mistral Large 3 or Hy4 preview?+
Hy4 preview has the larger sourced context window. Mistral Large 3 supports 262,144 tokens and Hy4 preview supports 1,000,000 tokens.
Which performs better in benchmarks, Mistral Large 3 or Hy4 preview?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Mistral Large 3 or Hy4 preview be self-hosted?+
Both models have the same sourced self-hosting status: supported. Mistral Large 3 is open weight; Hy4 preview is open weight.
Can Mistral Large 3 and Hy4 preview understand images?+
Mistral Large 3 is documented with image input; Hy4 preview is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Mistral Large 3 or Hy4 preview?+
Neither model has a sourced maximum output in this comparison, so a larger limit cannot be determined.
Do Mistral Large 3 and Hy4 preview support reasoning and tool use?+
Mistral Large 3: tool calling and image input. Hy4 preview: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Mistral Large 3 or Hy4 preview?+
Mistral Large 3 has 2 sourced provider routes; Hy4 preview has 2, a tie.
Which offers better value, Mistral Large 3 or Hy4 preview?+
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.