Mistral Medium 3.5 128B vs Jev
At a Glance
| Compare |  Mistral Medium 3.5 128BMistral AI |  JevTypeSafe |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.042TypeSafe ↗ · Sep 17, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $0.000TypeSafe ↗ · Sep 17, 2026 |
| Context windowMaximum documented tokens | 262K | 64K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 17, 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-Medium-3.5-128B | Jev |
|---|---|---|
| Developer | Mistral AI | TypeSafe |
| Family | Mistral Medium 3 5 128b | Jev |
| Model | Mistral-Medium-3.5-128B | Jev |
| Version | Mistral-Medium-3.5-128B | Jev |
| Lifecycle | active | active |
| Released | Unknown | 2026-09-15 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Model-specific input |
| Output modalities | Text | Model-specific input |
| Context window | 262K | 64K |
| Total parameters | 127.7B | Unknown |
| Active parameters | Unknown | Unknown |
| License | other | Unknown |
| Open weights | Yes | No |
| API available | Unknown | Yes |
| Self-hostable | Yes | No |
| Provider access | Unknown | TypeSafe (Standard) |
| Capabilities | chat, generation, reasoning, tools | calibrated-confidence, parallel-evaluation, structured_outputs, typed-decisions |
| Maximum Choice cardinality | Unknown | 255 options |
| Default request rate limit | Unknown | 1200 requests per minute |
| State plus longest question limit | Unknown | 32000 tokens |
| Combined state and questions limit | Unknown | 64000 tokens |
| Default token rate limit | Unknown | 250000 tokens per second |
Mistral Medium 3.5 128B Capabilities
Jev Capabilities
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Primary Evidence
Sources and Freshness
Questions
Mistral Medium 3.5 128B vs Jev FAQs
Is Mistral Medium 3.5 128B or Jev better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Mistral Medium 3.5 128B and Jev, 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 Jev?+
Only Jev has a directly sourced input price: $0.042 per million tokens. Only Jev has a directly sourced output price: $0.000 per million tokens.
Which has a larger context window, Mistral Medium 3.5 128B or Jev?+
Mistral Medium 3.5 128B has the larger sourced context window. Mistral Medium 3.5 128B supports 262K and Jev supports 64K.
Which performs better in benchmarks, Mistral Medium 3.5 128B or Jev?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Mistral Medium 3.5 128B or Jev be self-hosted?+
Mistral Medium 3.5 128B is the only model in this pair currently marked as self-hostable. Mistral Medium 3.5 128B is open weight; Jev is not marked open weight.
Can Mistral Medium 3.5 128B and Jev understand images?+
Mistral Medium 3.5 128B is documented with image input; Jev 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 Jev?+
Neither has a larger sourced maximum output. Mistral Medium 3.5 128B is — and Jev is —.
Do Mistral Medium 3.5 128B and Jev support reasoning and tool use?+
Mistral Medium 3.5 128B: reasoning, tool calling, and image input. Jev: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Mistral Medium 3.5 128B or Jev?+
Mistral Medium 3.5 128B has 0 sourced provider routes; Jev has 1, so Jev has broader tracked availability.
Which offers better value, Mistral Medium 3.5 128B or Jev?+
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.