Mistral-Medium-3.5-128B vs Hy3
Benchmark Performance
Available Benchmarks
| Benchmark | Mistral-Medium-3.5-128B | Hy3 |
|---|---|---|
| LMArena Agent Arenaagent-2026-08-31-011508720696 · outcome_score · leader | -6.1295% of row best · score · Mistral Medium 3.5; 95% CI [-7.78867951, -4.45821930]; sessions 7677; observations 248889; rank 46 | -1.64100% of row best · score · Hy3; 95% CI [-2.95971591, -0.31896988]; sessions 23436; observations 811149; rank 37 |
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,421.1699% of row best · rating · mistral-medium-3.5; 95% CI [1414.62812191, 1427.69573067]; votes 11017; rank 98 | 1,439.99100% of row best · rating · hy3; 95% CI [1432.36272776, 1447.61573606]; votes 6911; rank 63 |
| 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-Medium-3.5-128B | Hy3 |
|---|---|---|
| Developer | Mistral AI | Tencent |
| Family | Mistral Medium 3 5 128b | Hy3 |
| Model | Mistral-Medium-3.5-128B | Hy3 |
| Version | Mistral-Medium-3.5-128B | Hy3 |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 262,144 | 262,144 |
| Total parameters | 127,704,210,176 | 298,786,155,776 |
| Active parameters | Unknown | 21,000,000,000 |
| License | other | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Unknown | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Deepinfra (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, tools |
13 comparable fields · 8 material differences · Pair passes the primary-source comparison gate
Mistral-Medium-3.5-128B Capabilities
Hy3 Capabilities
Internal Comparison Graph
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|---|---|---|---|
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Mistral-Medium-3.5-128BMistral AI | vs | Mistral-Small-4-119B-2603Mistral AI | family variantsimage, text |
Mistral-Medium-3.5-128BMistral AI | vs | Mistral Large 3Mistral AI | family variantsimage, text |
| vs | Mistral-Medium-3.5-128BMistral AI | cross-developer peersimage, text | |
Mistral-Medium-3.5-128BMistral AI | vs |  Kimi-K2.5Moonshot AI | cross-developer peersimage, text |
| vs | Mistral-Medium-3.5-128BMistral AI | cross-developer peersimage, text | |
| vs | Mistral-Medium-3.5-128BMistral AI | cross-developer peersimage, text | |
| vs | Mistral-Medium-3.5-128BMistral AI | cross-developer peersimage, text | |
Mistral-Medium-3.5-128BMistral AI | vs | cross-developer peerstext | |
| vs | Hy3Tencent | cross-developer peerstext | |
 Qwen3-Coder-NextQwen | vs | Mistral-Medium-3.5-128BMistral AI | cross-developer peerstext |
 MiniMax-M2.7MiniMax | vs | Hy3Tencent | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Mistral-Medium-3.5-128B vs Hy3 FAQs
Is Mistral-Medium-3.5-128B or Hy3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Mistral-Medium-3.5-128B and Hy3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Mistral-Medium-3.5-128B or Hy3?+
Only Hy3 has a directly sourced input price: $0.132 per million tokens. Only Hy3 has a directly sourced output price: $0.528 per million tokens.
Which has a larger context window, Mistral-Medium-3.5-128B or Hy3?+
Neither model has a larger sourced context window in this comparison. Mistral-Medium-3.5-128B is 262,144 and Hy3 is 262,144.
Which performs better in benchmarks, Mistral-Medium-3.5-128B or Hy3?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can Mistral-Medium-3.5-128B or Hy3 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Mistral-Medium-3.5-128B is open weight; Hy3 is open weight.
Can Mistral-Medium-3.5-128B and Hy3 understand images?+
Mistral-Medium-3.5-128B is documented with image input; Hy3 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Mistral-Medium-3.5-128B or Hy3?+
Neither has a larger sourced maximum output. Mistral-Medium-3.5-128B is — and Hy3 is —.
Do Mistral-Medium-3.5-128B and Hy3 support reasoning and tool use?+
Mistral-Medium-3.5-128B: reasoning, tool calling, and image input. Hy3: tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Mistral-Medium-3.5-128B or Hy3?+
Mistral-Medium-3.5-128B has 0 sourced provider routes; Hy3 has 2, so Hy3 has broader tracked availability.
Which offers better value, Mistral-Medium-3.5-128B or Hy3?+
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.