Claude Opus 4.7 vs Jev
At a Glance
| Compare | Claude Opus 4.7Anthropic |  JevTypeSafe |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #11 of 4679.0 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #37 of 44$0.286 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #20 of 3852.7 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $5.00Anthropic ↗ · Sep 3, 2026 | $0.042TypeSafe ↗ · Sep 17, 2026 |
| Output priceFrom · USD / 1M tokens | $25.00Anthropic ↗ · Sep 3, 2026 | $0.000TypeSafe ↗ · Sep 17, 2026 |
| Context windowMaximum documented tokens | 1,000K | 64K |
| Model facts checked | Sep 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
Side-by-Side Facts
| Field | Claude Opus 4.7 | Jev |
|---|---|---|
| Developer | Anthropic | TypeSafe |
| Family | Claude 4 | Jev |
| Model | Claude Opus 4.7 | Jev |
| Version | Claude Opus 4.7 | Jev |
| Lifecycle | active | active |
| Released | 2026-04-16 | 2026-09-15 |
| Knowledge cutoff | 2026-01-01 | Unknown |
| Input modalities | Text, Image | Text, Model-specific input |
| Output modalities | Text | Model-specific input |
| Context window | 1,000K | 64K |
| 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 | Anthropic (Standard), Deepinfra (Standard) | TypeSafe (Standard) |
| Capabilities | chat, generation, reasoning, 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 |
Claude Opus 4.7 Capabilities
Jev Capabilities
Related Comparisons
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|---|---|---|---|
Claude Opus 4.7Anthropic | vs |  GPT-6 AstraOpenAI | cross-developer peersimage, text |
Claude Fable 5.1Anthropic | vs | Claude Opus 4.7Anthropic | family variantsimage, text |
Claude Opus 4.7Anthropic | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Claude Opus 4.7Anthropic | vs |  DeepSeek-V4.1-FlashDeepSeek | cross-developer peersimage, text |
Claude Opus 4.7Anthropic | vs | Grok 4.6xAI | cross-developer peersimage, text |
Claude Opus 4.7Anthropic | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text |
Claude Opus 4.7Anthropic | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Claude Opus 4.7Anthropic | cross-developer peersimage, text |
Claude Opus 4.7Anthropic | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Claude Opus 4.7Anthropic | vs |  Hy4 previewTencent | cross-developer peerstext |
Claude Opus 4.7Anthropic | vs | Seed 2.1 ProByteDance Seed | cross-developer peersimage, text |
Claude Opus 4.7Anthropic | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Opus 4.7 vs Jev FAQs
Is Claude Opus 4.7 or Jev better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 4.7 and Jev, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Opus 4.7 or Jev?+
Claude Opus 4.7 is $5.00 and Jev is $0.042 per million tokens, so Jev is cheaper on this metric. Claude Opus 4.7 is $25.00 and Jev is $0.000 per million tokens, so Jev is cheaper on this metric.
Which has a larger context window, Claude Opus 4.7 or Jev?+
Claude Opus 4.7 has the larger sourced context window. Claude Opus 4.7 supports 1,000K and Jev supports 64K.
Which performs better in benchmarks, Claude Opus 4.7 or Jev?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Claude Opus 4.7 or Jev be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Claude Opus 4.7 is not marked open weight; Jev is not marked open weight.
Can Claude Opus 4.7 and Jev understand images?+
Claude Opus 4.7 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, Claude Opus 4.7 or Jev?+
Neither has a larger sourced maximum output. Claude Opus 4.7 is 128K and Jev is —.
Do Claude Opus 4.7 and Jev support reasoning and tool use?+
Claude Opus 4.7: 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, Claude Opus 4.7 or Jev?+
Claude Opus 4.7 has 2 sourced provider routes; Jev has 1, so Claude Opus 4.7 has broader tracked availability.
Which offers better value, Claude Opus 4.7 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.