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Model Comparison

DeepSeek V4 Flash 0731 vs Jev RouterWhich Is Better in 2026?

DeepSeek: DeepSeek V4 Flash 0731 logoDeepSeek•
Typesafe

DeepSeek V4 Flash 0731 vs Jev Router: which should you choose in 2026?

DeepSeek V4 Flash 0731 (by DeepSeek) and Jev Router (by Typesafe) are compared below. Here is how they stack up on benchmarks, price, and capabilities, and which one to pick in 2026.

There are not enough shared, protocol-compatible benchmark results to declare a performance leader.

Choose DeepSeek V4 Flash 0731 if…

  • • you need a model with explicit reasoning support

Choose Jev Router if…

  • • you need image inputs

The benchmark count includes only results measured with a matching benchmark version and protocol. Arena scores are shown separately. Missing, preliminary, and incompatible data is not treated as a controlled win. Published point-score comparisons are labeled separately when protocol details are incomplete. For text-output models, the verdict also compares token pricing and context windows.

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Performance benchmarks

Every value links to its source. A dash means that no reviewed result is available for that exact model and protocol.

DeepSeek V4 Flash 0731 and Jev Router benchmark results
BenchmarkDeepSeek V4 Flash 0731Jev Router
AutomationBench-AA

A 657-task benchmark of multi-step work across simulated SaaS applications in six business domains. The Artificial Analysis protocol reports a guardrail-aware score and is distinct from both the public Zapier split and the unrelated dynamic AutoBench framework.

Guardrail-aware score

——
BrowseComp

A benchmark of difficult, verifiable information-seeking questions designed to measure an agent's ability to locate hard-to-find facts through web browsing.

Accuracy

——
OSWorld-Verified

A verified computer-use benchmark in which multimodal agents operate desktop applications and are graded from the resulting environment state.

Mean task reward

——
SWE-Bench Verified

A human-validated subset of real GitHub issues used to measure whether a coding agent can produce repository patches that resolve the associated tests.

Resolved

——
Terminal-Bench 2.1

Version 2.1 of the benchmark for completing realistic tasks in terminal environments. Harness, resource limits, and attempt count are part of the protocol.

Mean task success

——
AutoBench

A dynamic LLM evaluation framework in which models generate questions, answer them, and participate in reciprocal peer assessment. AutoBench is distinct from Zapier's AutomationBench.

Weighted peer-assessment score

——
GPQA Diamond

The highest-quality subset of Graduate-Level Google-Proof Q&A, designed to test expert-level scientific reasoning in biology, physics, and chemistry.

Accuracy

90.8%
Artificial Analysis
—
Humanity's Last Exam

A 2,500-question expert-level benchmark spanning dozens of academic fields. Tool-assisted and no-tools results are separate protocols and must not be merged.

Accuracy

38.6%
Artificial Analysis
—
LiveBench

A contamination-resistant benchmark refreshed on a fixed release cadence. Scores from different LiveBench releases must never be compared as the same protocol.

Mean of category averages

74.2%
LiveBench
—

Benchmark sources

Reviewed evidence last updated 2026-08-09.

Pricing, capabilities, and model facts

DeepSeek V4 Flash 0731 and Jev Router model facts
FeatureDeepSeek V4 Flash 0731Jev Router
Context & model facts
DeveloperDeepSeekTypesafe
API providerDeepSeekTypeSafe
Input context1,048,576 tokens1,000,000 tokens
Maximum output943,718 tokens—
Released——
Added to WritingmateJul 31, 2026Sep 25, 2026
LicenseNot availableNot available
Knowledge cutoff——
Capabilities
InputsTextAudio, File, Image, Text, Video
OutputsTextText
Provider endpoint accepts tool parametersYesNo
ReasoningYesNo
VisionNoYes
Image GenerationNoNo
Video GenerationNoNo
API pricing
Input (per 1M tokens)$0.01—
Output (per 1M tokens)$1.28—
Blended 3:1 input/output$0.3275—
API performance
p95 latencyNot measuredNot measured
Output throughputNot measuredNot measured
Writingmate shows API performance only when both models have enough observations from the same measurement window, prompt profile, and provider. Third-party latency values are not copied into this table.

Data sources

  • Writingmate model catalog (pricing, limits, and availability)

Catalog data last updated Sep 25, 2026.

Why Pay for Multiple Subscriptions?

Comparing DeepSeek V4 Flash 0731 from DeepSeek with Jev Router from Typesafe? Instead of managing separate API keys and subscriptions, get both with Writingmate.

Subscription-plan access for DeepSeek V4 Flash 0731 and Jev Router
PlanPriceDeepSeek V4 Flash 0731Jev RouterAI ImagesAI Video
Writingmate Pro
Most popular
$20/moIncludedIncludedNano Banana Pro, FLUX.2, DALL-E & moreVEO 3.1, Kling 3.0
Writingmate Ultimate
Power users
$60/moIncludedIncludedNano Banana Pro, FLUX.2, DALL-E & moreVEO 3.1, Kling 3.0
View Plans & Pricing

DeepSeek V4 Flash 0731 vs Jev Router FAQ

Which is better, DeepSeek V4 Flash 0731 or Jev Router?

There are not enough shared, protocol-compatible benchmark results to declare a performance leader.

Which model is cheaper to use through an API?

A comparable blended token price is not available for both models. Check the API pricing rows for the values that are currently published.

Which model supports more context?

The published context windows are close enough that this page does not treat the difference as a material advantage.

Can I switch between DeepSeek V4 Flash 0731 and Jev Router?

Yes. Use the model selector on this page to open any current Writingmate model comparison. You can also run the same prompt with both models in Writingmate.