Command A vs Jev
At a Glance
| Compare |  Command ACohere |  JevTypeSafe |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $2.50Cohere ↗ · Aug 29, 2026 | $0.042TypeSafe ↗ · Sep 17, 2026 |
| Output priceFrom · USD / 1M tokens | $10.00Cohere ↗ · Aug 29, 2026 | $0.000TypeSafe ↗ · Sep 17, 2026 |
| Context windowMaximum documented tokens | 256K | 64K |
| Model facts checked | Aug 29, 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 | Command A | Jev |
|---|---|---|
| Developer | Cohere | TypeSafe |
| Family | Command A | Jev |
| Model | Command A | Jev |
| Version | Command A | Jev |
| Lifecycle | active | active |
| Released | Unknown | 2026-09-15 |
| Knowledge cutoff | 2024-06-01 | Unknown |
| Input modalities | Text | Text, Model-specific input |
| Output modalities | Text | Model-specific input |
| Context window | 256K | 64K |
| Total parameters | 111B | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Cohere (Standard) | TypeSafe (Standard) |
| Capabilities | agents, chat, citations, multilingual, rag, structured_outputs, 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 |
Command A Capabilities
Jev Capabilities
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Command ACohere | vs | Grok 4.6xAI | cross-developer peerstext |
Command ACohere | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
Command ACohere | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
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Command ACohere | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Command ACohere | vs |  Hy4 previewTencent | cross-developer peerstext |
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Command ACohere | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Command A vs Jev FAQs
Is Command A or Jev better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Command A and Jev, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Command A or Jev?+
Command A is $2.50 and Jev is $0.042 per million tokens, so Jev is cheaper on this metric. Command A is $10.00 and Jev is $0.000 per million tokens, so Jev is cheaper on this metric.
Which has a larger context window, Command A or Jev?+
Command A has the larger sourced context window. Command A supports 256K and Jev supports 64K.
Which performs better in benchmarks, Command A or Jev?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Command A or Jev be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Command A is not marked open weight; Jev is not marked open weight.
Can Command A and Jev understand images?+
Command A is not documented with image input; Jev is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Command A or Jev?+
Neither has a larger sourced maximum output. Command A is 8K and Jev is —.
Do Command A and Jev support reasoning and tool use?+
Command A: tool calling. Jev: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Command A or Jev?+
Command A has 1 sourced provider route; Jev has 1, a tie.
Which offers better value, Command A 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.