Llama 3.1 8B Instruct vs Mistral Medium 3.5 128B
At a Glance
| Compare |  Mistral Medium 3.5 128BMistral AI | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.050Openrouter ↗ · Sep 23, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $0.080Openrouter ↗ · Sep 23, 2026 | Not reported |
| Context windowMaximum documented tokens | 131K | 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-3.1-8B-Instruct | Mistral-Medium-3.5-128B |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,186.4884% of row best · rating · llama-3.1-8b-instruct; 95% CI [1182.38141125, 1190.58254982]; votes 49605; rank 313 | 1,420.58100% of row best · rating · mistral-medium-3.5; 95% CI [1414.04225396, 1427.11615611]; votes 10996; rank 104 |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark winsNo overall winner | 1 benchmark winNo 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-3.1-8B-Instruct | Mistral-Medium-3.5-128B |
|---|---|---|
| Developer | Meta | Mistral AI |
| Family | Llama 3 1 8b Instruct | Mistral Medium 3 5 128b |
| Model | Llama-3.1-8B-Instruct | Mistral-Medium-3.5-128B |
| Version | Llama-3.1-8B-Instruct | Mistral-Medium-3.5-128B |
| Lifecycle | active | active |
| Released | 2024-07-23 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 131K | 262K |
| Total parameters | 8B | 127.7B |
| Active parameters | Unknown | Unknown |
| License | llama3.1 | other |
| Open weights | Yes | Yes |
| API available | Yes | Unknown |
| Self-hostable | Yes | Yes |
| Provider access | Hugging Face (Standard), Openrouter (Standard) | Unknown |
| Capabilities | chat, generation, tools | chat, generation, reasoning, tools |
Llama 3.1 8B Instruct Capabilities
Mistral Medium 3.5 128B Capabilities
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| vs | Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Llama 3.1 8B Instruct vs Mistral Medium 3.5 128B FAQs
Is Llama 3.1 8B Instruct or Mistral Medium 3.5 128B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 3.1 8B 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 3.1 8B Instruct or Mistral Medium 3.5 128B?+
Only Llama 3.1 8B Instruct has a directly sourced input price: $0.050 per million tokens. Only Llama 3.1 8B Instruct has a directly sourced output price: $0.080 per million tokens.
Which has a larger context window, Llama 3.1 8B Instruct or Mistral Medium 3.5 128B?+
Mistral Medium 3.5 128B has the larger sourced context window. Llama 3.1 8B Instruct supports 131K and Mistral Medium 3.5 128B supports 262K.
Which performs better in benchmarks, Llama 3.1 8B Instruct or Mistral Medium 3.5 128B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Llama 3.1 8B Instruct or Mistral Medium 3.5 128B be self-hosted?+
Both models have the same recorded self-hosting status: supported. Llama 3.1 8B Instruct is open weight; Mistral Medium 3.5 128B is open weight.
Can Llama 3.1 8B Instruct and Mistral Medium 3.5 128B understand images?+
Llama 3.1 8B Instruct is not 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 3.1 8B Instruct or Mistral Medium 3.5 128B?+
Neither has a larger sourced maximum output. Llama 3.1 8B Instruct is — and Mistral Medium 3.5 128B is —.
Do Llama 3.1 8B Instruct and Mistral Medium 3.5 128B support reasoning and tool use?+
Llama 3.1 8B Instruct: tool calling. 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 3.1 8B Instruct or Mistral Medium 3.5 128B?+
Llama 3.1 8B Instruct has 2 sourced provider routes; Mistral Medium 3.5 128B has 0, so Llama 3.1 8B Instruct has broader tracked availability.
Which offers better value, Llama 3.1 8B 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.