Llama 4 Scout 17B 16E Instruct vs Mistral Medium 3.5 128B
At a Glance
| Compare |  Mistral Medium 3.5 128BMistral AI | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | #43 of 570.0 score · 1/3 sources · single-source provisional · missing LiveBench, ARC-AGI-2 · full-core range 0.0–66.7 | UnrankedNot in the 57-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.10Deepinfra ↗ · Oct 19, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $0.30Deepinfra ↗ · Oct 19, 2026 | Not reported |
| Context windowMaximum documented tokens | 10,000K | 262K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 28, 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 | Llama-4-Scout-17B-16E-Instruct | Mistral-Medium-3.5-128B |
|---|---|---|
| LMArena Text Arenatext-2026-10-15-0ebb411abf00 · arena_rating · leader | 1,279.1690% of row best · rating · llama-4-scout-17b-16e-instruct; 95% CI [1274.44779094, 1283.86814615]; votes 29826; rank 273 | 1,420.97100% of row best · rating · mistral-medium-3.5; 95% CI [1414.59009121, 1427.34230551]; votes 11778; rank 112 |
| LMArena Vision Arenavision-2026-10-09-0ebb411abf00 · arena_rating · leader | 1,118.2391% of row best · rating · llama-4-scout-17b-16e-instruct; 95% CI [1108.78959993, 1127.66568063]; votes 6451; rank 127 | 1,223.08100% of row best · rating · mistral-medium-3.5; 95% CI [1213.57754699, 1232.58266173]; votes 5375; rank 82 |
| 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 | Llama-4-Scout-17B-16E-Instruct | Mistral-Medium-3.5-128B |
|---|---|---|
| Developer | Meta | Mistral AI |
| Family | Llama 4 Scout 17b 16e Instruct | Mistral Medium 3 5 128b |
| Model | Llama-4-Scout-17B-16E-Instruct | Mistral-Medium-3.5-128B |
| Version | Llama-4-Scout-17B-16E-Instruct | Mistral-Medium-3.5-128B |
| Lifecycle | active | active |
| Released | 2025-04-05 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 10,000K | 262K |
| Total parameters | 108.6B | 127.7B |
| Active parameters | 17B | Unknown |
| License | other | other |
| Open weights | Yes | Yes |
| API available | Yes | Unknown |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Unknown |
| Capabilities | chat, generation, tools | chat, generation, reasoning, tools |
Llama 4 Scout 17B 16E Instruct Capabilities
Mistral Medium 3.5 128B Capabilities
Related Comparisons
All image comparisons →| A | Pair | B | Context |
|---|---|---|---|
| vs | family variantsimage, text | ||
| vs | cross-developer peersimage, text | ||
 Llama-3.1-405BMeta | vs | family variantstext | |
| vs | family variantsimage, text | ||
| vs | Ministral-3-14B-Instruct-2512Mistral AI | cross-developer peersimage, text | |
| vs | Mistral-Small-4-119B-2603Mistral AI | cross-developer peersimage, text | |
| vs |  GPT-4oOpenAI | cross-developer peersimage, text | |
| vs | GPT-4o MiniOpenAI | cross-developer peersimage, text | |
| vs | GPT-5 ProOpenAI | cross-developer peersimage, text | |
| vs | GPT-5.6 LunaOpenAI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Llama 4 Scout 17B 16E Instruct vs Mistral Medium 3.5 128B FAQs
Is Llama 4 Scout 17B 16E Instruct or Mistral Medium 3.5 128B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 4 Scout 17B 16E Instruct and Mistral Medium 3.5 128B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Llama 4 Scout 17B 16E Instruct or Mistral Medium 3.5 128B?+
Only Llama 4 Scout 17B 16E Instruct has a directly sourced input price: $0.10 per million tokens. Only Llama 4 Scout 17B 16E Instruct has a directly sourced output price: $0.30 per million tokens.
Which has a larger context window, Llama 4 Scout 17B 16E Instruct or Mistral Medium 3.5 128B?+
Llama 4 Scout 17B 16E Instruct has the larger sourced context window. Llama 4 Scout 17B 16E Instruct supports 10,000,000 tokens and Mistral Medium 3.5 128B supports 262,144 tokens.
Which performs better in benchmarks, Llama 4 Scout 17B 16E Instruct or Mistral Medium 3.5 128B?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can Llama 4 Scout 17B 16E Instruct or Mistral Medium 3.5 128B be self-hosted?+
Both models have the same sourced self-hosting status: supported. Llama 4 Scout 17B 16E Instruct is open weight; Mistral Medium 3.5 128B is open weight.
Can Llama 4 Scout 17B 16E Instruct and Mistral Medium 3.5 128B understand images?+
Llama 4 Scout 17B 16E Instruct is documented with image input; Mistral Medium 3.5 128B is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Llama 4 Scout 17B 16E Instruct or Mistral Medium 3.5 128B?+
Neither model has a sourced maximum output in this comparison, so a larger limit cannot be determined.
Do Llama 4 Scout 17B 16E Instruct and Mistral Medium 3.5 128B support reasoning and tool use?+
Llama 4 Scout 17B 16E Instruct: tool calling and image input. Mistral Medium 3.5 128B: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Llama 4 Scout 17B 16E Instruct or Mistral Medium 3.5 128B?+
Llama 4 Scout 17B 16E Instruct has 4 sourced provider routes; Mistral Medium 3.5 128B has 0, so Llama 4 Scout 17B 16E Instruct has broader tracked availability.
Which offers better value, Llama 4 Scout 17B 16E Instruct or Mistral Medium 3.5 128B?+
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.