Command A Reasoning vs Jev

At a Glance

Compare
JevTypeSafe
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.042TypeSafe · Sep 17, 2026
Output priceFrom · USD / 1M tokensNot reported$0.000TypeSafe · Sep 17, 2026
Context windowMaximum documented tokens256K64K
Model facts checkedSep 3, 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

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldCommand A ReasoningJev
DeveloperCohereTypeSafe
FamilyCommand AJev
ModelCommand A ReasoningJev
VersionCommand A ReasoningJev
Lifecycleactiveactive
Released2025-08-212026-09-15
Knowledge cutoff2024-06-01Unknown
Input modalitiesTextText, Model-specific input
Output modalitiesTextModel-specific input
Context window256K64K
Total parameters111BUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessCohere (Standard)TypeSafe (Standard)
Capabilitiesagents, chat, citations, reasoning, rag, structured_outputs, toolscalibrated-confidence, parallel-evaluation, structured_outputs, typed-decisions
Maximum Choice cardinalityUnknown255 options
Default request rate limitUnknown1200 requests per minute
State plus longest question limitUnknown32000 tokens
Combined state and questions limitUnknown64000 tokens
Default token rate limitUnknown250000 tokens per second

Command A Reasoning Capabilities

agentschatcitationsreasoningragstructured outputstools
Serving providers1
Canonical IDcoherelabs/command-a-reasoning-08-2025

Jev Capabilities

calibrated-confidenceparallel-evaluationstructured outputstyped-decisions
Serving providers1
Canonical IDtypesafe/jev

Primary Evidence

Sources and Freshness

Questions

Command A Reasoning vs Jev FAQs

Is Command A Reasoning or Jev better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Command A Reasoning and Jev, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Command A Reasoning 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, Command A Reasoning or Jev?+

Command A Reasoning has the larger sourced context window. Command A Reasoning supports 256K and Jev supports 64K.

Which performs better in benchmarks, Command A Reasoning 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 Reasoning or Jev be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Command A Reasoning is not marked open weight; Jev is not marked open weight.

Can Command A Reasoning and Jev understand images?+

Command A Reasoning 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 Reasoning or Jev?+

Neither has a larger sourced maximum output. Command A Reasoning is 32K and Jev is —.

Do Command A Reasoning and Jev support reasoning and tool use?+

Command A Reasoning: reasoning and 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 Reasoning or Jev?+

Command A Reasoning has 1 sourced provider route; Jev has 1, a tie.

Which offers better value, Command A Reasoning 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.

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