GPT-5 vs Jev

At a Glance

Compare
GPT-5OpenAI
JevTypeSafe
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#41 of 4615.0 score · 2/3 sources · provisional · missing LiveBench · full-core range 10.0–43.3UnrankedNot in the 46-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.625Openrouter · Sep 3, 2026$0.042TypeSafe · Sep 17, 2026
Output priceFrom · USD / 1M tokens$5.00Openrouter · Sep 3, 2026$0.000TypeSafe · Sep 17, 2026
Context windowMaximum documented tokens400K64K
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

FieldGPT-5Jev
DeveloperOpenAITypeSafe
FamilyGpt 5Jev
ModelGPT-5Jev
VersionGPT-5Jev
Lifecycleactiveactive
Released2025-08-072026-09-15
Knowledge cutoff2024-09-30Unknown
Input modalitiesText, ImageText, Model-specific input
Output modalitiesTextModel-specific input
Context window400K64K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessOpenai (Standard), Openrouter (Standard)TypeSafe (Standard)
Capabilitieschat, generation, reasoning, 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

GPT-5 Capabilities

chatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDopenai/gpt-5

Jev Capabilities

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

Primary Evidence

Sources and Freshness

Questions

GPT-5 vs Jev FAQs

Is GPT-5 or Jev better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5 and Jev, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, GPT-5 or Jev?+

GPT-5 is $0.625 and Jev is $0.042 per million tokens, so Jev is cheaper on this metric. GPT-5 is $5.00 and Jev is $0.000 per million tokens, so Jev is cheaper on this metric.

Which has a larger context window, GPT-5 or Jev?+

GPT-5 has the larger sourced context window. GPT-5 supports 400K and Jev supports 64K.

Which performs better in benchmarks, GPT-5 or Jev?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can GPT-5 or Jev be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. GPT-5 is not marked open weight; Jev is not marked open weight.

Can GPT-5 and Jev understand images?+

GPT-5 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, GPT-5 or Jev?+

Neither has a larger sourced maximum output. GPT-5 is 128K and Jev is —.

Do GPT-5 and Jev support reasoning and tool use?+

GPT-5: 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, GPT-5 or Jev?+

GPT-5 has 2 sourced provider routes; Jev has 1, so GPT-5 has broader tracked availability.

Which offers better value, GPT-5 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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