Llama 3.1 70B 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 | $0.40Openrouter ↗ · Sep 22, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $0.40Openrouter ↗ · Sep 22, 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-3.1-70B-Instruct | Mistral-Medium-3.5-128B |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,260.8189% of row best · rating · llama-3.1-70b-instruct; 95% CI [1257.09857551, 1264.52491700]; votes 55240; rank 276 | 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-3.1-70B-Instruct | Mistral-Medium-3.5-128B |
|---|---|---|
| Developer | Meta | Mistral AI |
| Family | Llama 3 1 70b Instruct | Mistral Medium 3 5 128b |
| Model | Llama-3.1-70B-Instruct | Mistral-Medium-3.5-128B |
| Version | Llama-3.1-70B-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 | 70.6B | 127.7B |
| Active parameters | Unknown | Unknown |
| License | llama3.1 | other |
| Open weights | Yes | Yes |
| API available | Yes | Unknown |
| Self-hostable | Yes | Yes |
| Provider access | Openrouter (Standard) | Unknown |
| Capabilities | chat, generation, tools | chat, generation, reasoning, tools |
Llama 3.1 70B 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 70B Instruct vs Mistral Medium 3.5 128B FAQs
Is Llama 3.1 70B 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 70B 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 70B Instruct or Mistral Medium 3.5 128B?+
Only Llama 3.1 70B Instruct has a directly sourced input price: $0.40 per million tokens. Only Llama 3.1 70B Instruct has a directly sourced output price: $0.40 per million tokens.
Which has a larger context window, Llama 3.1 70B Instruct or Mistral Medium 3.5 128B?+
Mistral Medium 3.5 128B has the larger sourced context window. Llama 3.1 70B Instruct supports 131K and Mistral Medium 3.5 128B supports 262K.
Which performs better in benchmarks, Llama 3.1 70B 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 70B Instruct or Mistral Medium 3.5 128B be self-hosted?+
Both models have the same recorded self-hosting status: supported. Llama 3.1 70B Instruct is open weight; Mistral Medium 3.5 128B is open weight.
Can Llama 3.1 70B Instruct and Mistral Medium 3.5 128B understand images?+
Llama 3.1 70B 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 70B Instruct or Mistral Medium 3.5 128B?+
Neither has a larger sourced maximum output. Llama 3.1 70B Instruct is — and Mistral Medium 3.5 128B is —.
Do Llama 3.1 70B Instruct and Mistral Medium 3.5 128B support reasoning and tool use?+
Llama 3.1 70B 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 70B Instruct or Mistral Medium 3.5 128B?+
Llama 3.1 70B Instruct has 1 sourced provider route; Mistral Medium 3.5 128B has 0, so Llama 3.1 70B Instruct has broader tracked availability.
Which offers better value, Llama 3.1 70B 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.