Jev vs Grok 4.5
At a Glance
| Compare | JevTypeSafe | Grok 4.5xAI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #25 of 4660.1 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #15 of 44$0.063 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #11 of 3859.2 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.042TypeSafe ↗ · Sep 17, 2026 | $2.00Xai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $0.000TypeSafe ↗ · Sep 17, 2026 | $6.00Xai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 64K | 500K |
| Model facts checked | Sep 17, 2026View model evidence → | Sep 3, 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 | Jev | Grok 4.5 |
|---|---|---|
| Developer | TypeSafe | xAI |
| Family | Jev | Grok 4 |
| Model | Jev | Grok 4.5 |
| Version | Jev | Grok 4.5 |
| Lifecycle | active | active |
| Released | 2026-09-15 | 2026-07-16 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Model-specific input | Text, Image |
| Output modalities | Model-specific input | Text |
| Context window | 64K | 500K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | TypeSafe (Standard) | Xai (Standard) |
| Capabilities | calibrated-confidence, parallel-evaluation, structured_outputs, typed-decisions | chat, generation, reasoning, structured_outputs, tools |
| Maximum Choice cardinality | 255 options | Unknown |
| Default request rate limit | 1200 requests per minute | Unknown |
| State plus longest question limit | 32000 tokens | Unknown |
| Combined state and questions limit | 64000 tokens | Unknown |
| Default token rate limit | 250000 tokens per second | Unknown |
Jev Capabilities
Grok 4.5 Capabilities
Primary Evidence
Sources and Freshness
Questions
Jev vs Grok 4.5 FAQs
Is Jev or Grok 4.5 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Jev and Grok 4.5, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Jev or Grok 4.5?+
Jev is $0.042 and Grok 4.5 is $2.00 per million tokens, so Jev is cheaper on this metric. Jev is $0.000 and Grok 4.5 is $6.00 per million tokens, so Jev is cheaper on this metric.
Which has a larger context window, Jev or Grok 4.5?+
Grok 4.5 has the larger sourced context window. Jev supports 64K and Grok 4.5 supports 500K.
Which performs better in benchmarks, Jev or Grok 4.5?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Jev or Grok 4.5 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Jev is not marked open weight; Grok 4.5 is not marked open weight.
Can Jev and Grok 4.5 understand images?+
Jev is not documented with image input; Grok 4.5 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Jev or Grok 4.5?+
Neither has a larger sourced maximum output. Jev is — and Grok 4.5 is —.
Do Jev and Grok 4.5 support reasoning and tool use?+
Jev: none of these features are definitively sourced. Grok 4.5: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Jev or Grok 4.5?+
Jev has 1 sourced provider route; Grok 4.5 has 1, a tie.
Which offers better value, Jev or Grok 4.5?+
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.