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Model comparison · accepted catalogue facts 2026-10-16

DeepSeek V4 Flash 0423 vs Nemotron 3 Super

A quality score or a computable price is missing. This pair has no better-and-cheaper verdict.

Observed search question: “nemotron 3 super vs deepseek v4 flash” · 2026-08-28

DeepSeek V4 Flash 0423

LMArena general · Elo · higher is better

Scale starts at 1040 Elo

1432.2

Balanced effective USD / 1M tokens · lower is better

$0.113/M

Price under confirmation since Oct 12, 2026
Nemotron 3 Super

LMArena general · Elo · higher is better

Scale starts at 1040 Elo

—

Balanced effective USD / 1M tokens · lower is better

$0.164/M

In-Depth Analysis

DeepSeek V4 Flash 0423 vs Nemotron 3 Super: Measured Technical Breakdown

Comprehensive comparison across measured human-preference evaluation, effective production token costs, architectural limits, and migration trade-offs.

Measured Capability (LMArena)
Partial or missing benchmark score

DeepSeek V4 Flash 0423: 1432.2 Elo · Nemotron 3 Super: Unrated

Cost Comparison Across Canonical Production Workloads

Rates represent effective cost per 1M tokens under standard token blends. Cached prompt reads are factored according to workload context reuse.

Workload & RatioDeepSeek V4 Flash 0423Nemotron 3 SuperCost DifferenceAdvantage
Balanced 3 tokens in per 1 out$0.113 /1M tokens$0.164 /1M tokens$0.051 (31% diff)DeepSeek V4 Flash 0423 costs less
Summarise Huge input, tiny output$0.074 /1M tokens$0.101 /1M tokens$0.027 (27% diff)DeepSeek V4 Flash 0423 costs less
Chat Long cached system prompt$0.104 /1M tokens$0.211 /1M tokens$0.107 (51% diff)DeepSeek V4 Flash 0423 costs less
Code gen Output dominates$0.138 /1M tokens$0.274 /1M tokens$0.136 (50% diff)DeepSeek V4 Flash 0423 costs less
Agentic Context replayed each turn$0.061 /1M tokens$0.132 /1M tokens$0.072 (54% diff)DeepSeek V4 Flash 0423 costs less

Architectural & Operational Specifications

SpecificationDeepSeek V4 Flash 0423Nemotron 3 SuperOperational Note
Context window1,048,576 tokens262,144 tokensDeepSeek V4 Flash 0423 has a 4.0× larger context window
Max output generation943,717 tokens235,929 tokensDeepSeek V4 Flash 0423 allows longer single-turn completions
Base input price$0.090 / 1M tokens$0.085 / 1M tokensNemotron 3 Super input rate is cheaper
Base output price$0.180 / 1M tokens$0.400 / 1M tokensDeepSeek V4 Flash 0423 output rate is cheaper
Cached input price$0.018 / 1M tokensNot listed / standard rate—
Reasoning & thinking tokensSupported; standard ratesSupported; standard rates—
Input modalitiestexttext—
Tool calling / function useSupportedSupported—
Open weights & licenceOpen weights (Open)Proprietary (API-only)DeepSeek V4 Flash 0423 allows independent hosting or local deployment
Provider & reseller marketDeepSeek · 16 provider offers (488.89× spread)NVIDIA · 3 provider offers (3.75× spread)—

When to Choose DeepSeek V4 Flash 0423

  • Higher measured general capability (1432.2 Elo on human evaluation).
  • Larger context window (1,048,576 tokens) for long-document or repo-level context.
  • Higher maximum completion limit (943,717 tokens).
  • Open weights availability allows private self-hosting and on-premise execution.
  • Direct integration with DeepSeek tooling and API features.

When to Choose Nemotron 3 Super

  • Direct integration with NVIDIA tooling and API features.
Risks when moving from DeepSeek V4 Flash 0423 → Nemotron 3 Super:
  • Context window: 1,048,576 → 262,144 tokens.
  • Output limit: 943,717 → 235,929 tokens.

Detailed Evidence Passports & Independent Audits

DeepSeek V4 Flash 0423 Full model card, pricing ladder & provider offers → Nemotron 3 Super Full model card, pricing ladder & provider offers → Alternatives to DeepSeek V4 Flash 0423 Better-and-cheaper dominance audit → Alternatives to Nemotron 3 Super Better-and-cheaper dominance audit →

Compare · model decision

Choose two or three models

Inspect the differences, estimate your workload and keep the evidence. All standard catalogue models are available, including unrated ones.

Catalogue facts
2026-10-16

2 / 3 selected · 0 requirements
Open public comparison link
Public workload and requirements

These settings are included in the share link. The fixed-request scenario and private evaluation data below are excluded.

A ↔ B

A quality score or a computable price is missing. This pair has no better-and-cheaper verdict.

Estimated blend: 75% input, 25% output; 0% cached input. Base context tier. Prompt length selects the billing tier. An unlisted cache-read rate uses that tier’s full input rate in this blend; missing required input or output rates prevent an estimate. The fixed-request estimate below validates actual context and output limits and requires a published cache-read rate when cache hits are assumed.

What changes between these models

Quality first, then estimated price. LMArena scores are human-preference measurements, not a benchmark of your application. A missing score is unrated.

  • DeepSeek V4 Flash 0423 · Meets the stated model requirements
  • Nemotron 3 Super · Meets the stated model requirements
Material differences and unknown evidence. Deltas compare each model with model A. Unknown facts remain visible.
Measured factA DeepSeek V4 Flash 0423B Nemotron 3 Super
LMArena general score (Elo)1,432.2Unknown
Score interval half-width (± Elo)4.02Unknown
Benchmark reasoning effortdefaultUnknown
LMArena document score (Elo)UnknownUnknown
Estimated effective USD / 1M tokens$0.1125$0.16375Δ vs A: +0.05125 USD/M
Base input USD / 1M tokens$0.09$0.085Δ vs A: -0.005 USD/M
Base output USD / 1M tokens$0.18$0.4Δ vs A: +0.22 USD/M
Base cached-input USD / 1M tokens$0.018Unknown
Price statusUnder confirmation since 2026-10-12As of the catalogue date
Context window (tokens)1,048,576262,144Δ vs A: -786,432 tokens
Output limit (tokens)943,717235,929Δ vs A: -707,788 tokens
Open weightsSupportedUnknown
Recorded licenceUnknownUnknown
Model providerDeepSeekNVIDIA
Distinct sellers in the catalogue163Δ vs A: -13
Recorded retirement dateUnknownUnknown
5 shared measured facts
Shared measured facts. Deltas compare each model with model A. Unknown facts remain visible.
Measured factA DeepSeek V4 Flash 0423B Nemotron 3 Super
Input modalitiestexttext
Tool useSupportedSupportedΔ vs A: 0
ReasoningSupportedSupportedΔ vs A: 0
Serving precision differs across offersSupportedSupportedΔ vs A: 0
Retirement evidenceNone announced; not a guaranteeNone announced; not a guarantee

Provider counts and precision flags describe catalogue offers. They do not establish the precision, availability, region, tool behaviour or limits of your chosen endpoint. Open each model’s provider table before switching.

Complete price ladders and billing conditions

DeepSeek V4 Flash 0423

Rates below are USD per 1M tokens. A threshold selects that whole input/output rate pair.

Input-token thresholdInputOutputCached input
Base, up to and including first threshold$0.09$0.18$0.018

Nemotron 3 Super

Rates below are USD per 1M tokens. A threshold selects that whole input/output rate pair.

Input-token thresholdInputOutputCached input
Base, up to and including first threshold$0.085$0.4Unknown
Migration preflight · compare each candidate with model A

Keeping DeepSeek V4 Flash 0423 is a valid decision. No pairwise comparison certifies a drop-in replacement.

DeepSeek V4 Flash 0423 → Nemotron 3 Super

Known loss or failed requirement

  • Context window: 1,048,576 → 262,144 tokens.
  • Output limit: 943,717 → 235,929 tokens.
  • Provider endpoint, serving precision, availability and task success need your own verification. Catalogue model capabilities do not certify an endpoint.
Check alternatives to DeepSeek V4 Flash 0423

Estimate a fixed request shape

Private to this tab unless you save locally or explicitly export private details. These are estimates, not observed invoices. Cross-model token counts and task success are assumptions.

0.1 extra attempts means 10 extra full attempts per 100 requests. Cache writes, tool charges, taxes and unlisted charges are excluded.

  • DeepSeek V4 Flash 0423Estimated total: $0.27 1,000 full attempts · base rates
  • Nemotron 3 SuperEstimated total: $0.37 1,000 full attempts · base rates
Prompt and output sensitivity · sampled scenarios

Every point recalculates the entire request shape. Tier-boundary samples include one token below, at and above each threshold. Ordering between samples is not guaranteed. Lowest known cost excludes unknown estimates and is not a replacement recommendation.

Vary input; hold output, requests, cache and retries fixed.
Input tokensDeepSeek V4 Flash 0423Nemotron 3 SuperCoverage
2,000$0.27Lowest known$0.37All computed
4,096$0.45864Lowest known$0.54816All computed
32,768$3.03912$2.98528Lowest knownAll computed
131,072$11.88648$11.34112Lowest knownAll computed
Vary output; hold input, requests, cache and retries fixed.
Output tokensDeepSeek V4 Flash 0423Nemotron 3 Super
128$0.20304$0.2212
2,048$0.54864$0.9892
8,192$1.65456$3.4468

Bring your observed evaluation results

JSON is parsed locally. Prompts, filenames, individual responses and extra fields are not retained. Import only aggregate measurements for selected models. Task/version labels do not establish that two evaluations used the same dataset.

Expected format
[{"model":"provider/exact-model-id","task":"support-answer","version":"rubric-1","attempts":100,"successes":84,"costUsd":2.4,"latencyMs":950}]

Use the exact catalogue ID. Replace the example values with observed measurements. Omit costUsd or latencyMs when they are unknown. No public score is inferred from these observations.

Keep the decision and its evidence

A portable record retains selected facts, complete tier ladders, public requirements and the publication manifest. It also embeds the full permitted public catalogue to verify the input artifact checksum. Files are larger for this reason (up to 2 MB); local storage is limited to 12 records. Team review is local to this browser; there is no hosted collaboration.

Saving is opt-in and includes private review fields. Shared comparison links never include them. Version 1 Check references remain separate and are not overwritten or guessed into this format.

Saved local decisions · 0

No version 2 decision records are stored in this browser.

Questions this page answers

Is DeepSeek V4 Flash 0423 a better-and-cheaper replacement for Nemotron 3 Super?

A quality score or a computable price is missing. This pair has no better-and-cheaper verdict.

Which model is higher rated: DeepSeek V4 Flash 0423 or Nemotron 3 Super?

DeepSeek V4 Flash 0423 scores 1432.2 ±4.0 on LMArena general, while Nemotron 3 Super is unrated. An unrated status reflects absence of benchmark evidence, not a zero score.

Which model is more cost-effective: DeepSeek V4 Flash 0423 or Nemotron 3 Super?

On a standard balanced workload (3 prompt tokens per 1 generated token), DeepSeek V4 Flash 0423 costs $0.113 (price under confirmation since 2026-10-12) per 1M tokens versus $0.164 for Nemotron 3 Super. Nemotron 3 Super is approximately 1.5× the price of DeepSeek V4 Flash 0423. Base input rates are $0.090 for DeepSeek V4 Flash 0423 and $0.085 for Nemotron 3 Super; base output rates are $0.180 for DeepSeek V4 Flash 0423 and $0.400 for Nemotron 3 Super.

How do their context windows and generation limits compare?

DeepSeek V4 Flash 0423 provides a 1,048,576-token context window with a maximum output limit of 943,717 tokens. Nemotron 3 Super provides a 262,144-token context window with a maximum output of 235,929 tokens. DeepSeek V4 Flash 0423 offers a 4.0× larger context capacity, making it suitable for larger repositories and multi-document workflows.

What capabilities are lost when switching between DeepSeek V4 Flash 0423 and Nemotron 3 Super?

Switching from DeepSeek V4 Flash 0423 to Nemotron 3 Super involves: Context window: 1,048,576 → 262,144 tokens; Output limit: 943,717 → 235,929 tokens. Run test suites on your specific prompt templates and tool declarations before cutting over production traffic.

Can DeepSeek V4 Flash 0423 or Nemotron 3 Super be self-hosted or deployed privately?

DeepSeek V4 Flash 0423 provides open weights, enabling self-hosting on private GPU infrastructure, local quantization, and private data pipelines. Managed inference is also offered across third-party API providers (16 for DeepSeek V4 Flash 0423, 3 for Nemotron 3 Super).

What is included in this comparison?

Accepted model capabilities, context and output limits, complete price-tier ladders, independent LMArena measurements and missing evidence. Provider endpoint precision and application success still need verification.

Can I compare a different workload or keep a decision record?

Yes. Change the public workload, prompt length and requirements in the comparison workspace. Fixed-request scenarios, aggregate evaluations and review notes stay local unless explicitly exported.

Evidence & Ask
Markdown for LLMs