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text model comparison

DeepSeek-V4-Pro vs Gemini 4 Hydrogen

DeepSeek-V4-Pro and Gemini 4 Hydrogen are both current text models, from DeepSeek and Google. DeepSeek-V4-Pro is 12% cheaper per 1M input tokens than Gemini 4 Hydrogen, $1.32 vs $1.50. On Arena Text, DeepSeek-V4-Pro scores 1464 Elo and Gemini 4 Hydrogen 1490 Elo (Arena, measured November 11, 2026). Both accept about 1.05M tokens of context (1,000,000 and 1,048,576).

Higher Arena Text
Gemini 4 Hydrogen1490 Elo against 1464 Elo
Lower price per 1M input tokens
DeepSeek-V4-Pro$1.32 against $1.50
Longer context window
Gemini 4 Hydrogen1.05M tokens against 1M tokens
Newer release
Gemini 4 HydrogenNov 2026 against Aug 2026

Data verified November 15, 2026 · Dataset 2026-11-15

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Side by side

DeepSeek-V4-Pro and Gemini 4 Hydrogen, line by line

Prices in effect today, compared at the same tier wherever both list one. The better value in each row is highlighted.

FactDeepSeek-V4-ProGemini 4 Hydrogen
Price
Price per 1M input tokens$1.32 (better)$1.50
Price per 1M output tokens$3.96 (better)$7.50
Independent benchmarks
Arena Text1464 Elo (#27 of 50)1490 Elo (#7 of 50) (better)
Arena WebDev1581 Elo (#29 of 45)1704 Elo (#7 of 45) (better)
GPQA Diamond91.7% (#22 of 40)Not measured
FrontierMath Tiers 1-3 (v2)64.6% (#27 of 39)Not measured
SimpleQA Verified52.9% (#18 of 36)Not measured
Specs
ProviderDeepSeekGoogle
Release dateAugust 13, 2026November 12, 2026
AccessAPI and open weightsAPI only
Context window1,000,000 tokens1,048,576 tokens
Max output384,000 tokens65,536 tokens
Inputtexttext, image, audio, video
Outputtexttext

Scores:Arena · 2026-11-15Epoch AI · 2026-11-11

Open both in the interactive comparison

Charts

Against every current text model

Where DeepSeek-V4-Pro and Gemini 4 Hydrogen land among the current models of their task, on every independent benchmark, on price and on context.

Where each stands

On Arena Text, DeepSeek-V4-Pro ranks #27 and Gemini 4 Hydrogen #7 of 50 current models. Each bar is the share of current models it beats: on score, price and context.

DeepSeek-V4-Pro and Gemini 4 Hydrogen among the current text models, one row per benchmark, price and context window.

Independent benchmarks

Arena Text

DeepSeek-V4-Pro:#27of 50

1,464 Elo · ahead of 47%

Gemini 4 Hydrogen:#7of 50

1,490 Elo · ahead of 88%

Arena WebDev

DeepSeek-V4-Pro:#29of 45

1,581 Elo · ahead of 36%

Gemini 4 Hydrogen:#7of 45

1,704 Elo · ahead of 86%

GPQA Diamond

DeepSeek-V4-Pro:#22of 40

91.7% · ahead of 46%

Gemini 4 Hydrogen: Not scored

FrontierMath Tiers 1-3 (v2)

DeepSeek-V4-Pro:#27of 39

64.6% · ahead of 32%

Gemini 4 Hydrogen: Not scored

SimpleQA Verified

DeepSeek-V4-Pro:#18of 36

52.9% · ahead of 51%

Gemini 4 Hydrogen: Not scored

Price and context

Price per 1M input tokens

DeepSeek-V4-Pro:#30of 58

$1.32 · cheaper than 49%

Gemini 4 Hydrogen:#32of 58

$1.50 · cheaper than 44%

Price per 1M output tokens

DeepSeek-V4-Pro:#28of 58

$3.96 · cheaper than 53%

Gemini 4 Hydrogen:#36of 58

$7.50 · cheaper than 37%

Context window

DeepSeek-V4-Pro:#31of 68

1M tokens · longer than 22%

Gemini 4 Hydrogen:#12of 68

1.05M tokens · longer than 61%

Quality against price

Arena Text · measured November 11, 2026

DeepSeek-V4-Pro scores 1,464 at $1.98; Gemini 4 Hydrogen scores 1,490 at $3 (blended price per 1M tokens). The line joins the current models no other beats on both price and Arena Text score; hover any point to name it.

Quality against priceArena Text score against price for 42 text models, DeepSeek-V4-Pro and Gemini 4 Hydrogen marked.1,2501,3001,3501,4001,4501,5001,550$0.30$1$3$10MOST ATTRACTIVE QUADRANTMedian price $2.58Median 1,473Blended price per 1M tokens (3 input : 1 output), log scaleArena Text (Elo)Gemini 4 HydrogenDeepSeek-V4-Pro
Quality against price: the data
Arena Text score against price for 42 text models, DeepSeek-V4-Pro and Gemini 4 Hydrogen marked.
ModelProviderBlended price per 1M tokensArena Text (Elo)
Gemini 4 CarbonGoogle$41,526
Gemini 4 ArgonGoogle$41,522
Muse WonderMeta$81,511
Claude Opus 5.5Anthropic$81,507
Gemini 3.8 FlashGoogle$1.501,497
Muse Spark 1.3Meta$21,497
Gemini 4 HydrogenGoogle$31,490
Kimi K3Moonshot Kimi$61,487
GPT-5.6 SolOpenAI$81,485
Kimi K3.1 ProMoonshot Kimi$41,485
Qwen3.8-MaxAlibaba Qwen$31,484
Gemini 3.6 FlashGoogle$31,483
GLM-5.3Z.ai$2.151,482
GPT-5.5OpenAI$111,481
GPT-6.1 SolOpenAI$41,481
MiMo-V2.6-ProXiaomi MiMo$0.541,480
GPT-5.4OpenAI$5.631,475
DeepSeek-V4.1-FlashDeepSeek$0.521,475
GLM-5.3-FlashZ.ai$0.241,475
GPT-6 AstraOpenAI$201,474
Gemini 3 Flash PreviewGoogle$1.131,473
Claude Sonnet 5.5Anthropic$41,473
Grok 4.20xAI$1.561,472
GPT-5.6 TerraOpenAI$4.501,468
Grok 4.5xAI$31,466
DeepSeek-V4-ProDeepSeek$1.981,464
Grok 4.6xAI$31,457
GPT-6 SolOpenAI$41,457
Gemini 3.5 Flash-LiteGoogle$0.851,455
GPT-5.6 LunaOpenAI$0.451,453
Step 5 PreviewStepFun$1.431,449
MiMo-V2.6-FlashXiaomi MiMo$0.181,448
Grok 4.7xAI$31,443
Grok 4.3xAI$1.561,442
GPT-6 LunaOpenAI$0.201,441
Claude Haiku 5.5Anthropic$0.201,421
Mistral Large 4Mistral AI$1.051,420
GPT-4.1OpenAI$3.501,415
Inkling 2 SmallThinking Machines Lab$0.471,412
Solar Pro 4Upstage$0.521,387
GPT-4.1 miniOpenAI$0.701,383
GPT-4.1 nanoOpenAI$0.181,322

Cost

What each costs

Example workloads at each provider's listed rates, then every other rate either one lists. The cheaper figure in each row is highlighted.

The same work, priced

For 10M input and 2M output tokens, Gemini 4 Hydrogen costs 1.4 times as much as DeepSeek-V4-Pro, at each provider's listed rates.

What DeepSeek-V4-Pro and Gemini 4 Hydrogen cost for the same work, at the rates each provider lists.
  • 10M input and 2M output tokens

    Gemini 4 Hydrogen costs 1.4× as much

    DeepSeek-V4-Pro
    $21.12
    Gemini 4 Hydrogen
    $30
  • The same, with 9M of the input tokens cached

    Gemini 4 Hydrogen costs 1.8× as much

    DeepSeek-V4-Pro
    $9.64
    Gemini 4 Hydrogen
    $17.18
Workload or rateDeepSeek-V4-ProGemini 4 Hydrogen
Example workloads
10M input and 2M output tokens$21.12 (better)$30
The same, with 9M of the input tokens cached$9.64 (better)$17.18
The same, through the batch APINot listed$15
Other listed rates
1M input tokens, cached$0.044 (better)$0.075
1M input tokens, batchNot listed$0.75
1M output tokens, batchNot listed$3.75
1M input tokens, off peak$0.66Not listed
1M output tokens, off peak$1.98Not listed
1M input tokens, off-peak, cached$0.022Not listed
1M input tokens, priorityNot listed$2.70
1M output tokens, priorityNot listed$13.50

Your own bill will differ. These figures use list prices and example workloads. The AI Model Cost Audit reviews your real usage, shortlists models that score as well for each task for less, and estimates the savings.

Launch price $100, regular price $150

See the cost audit

Verdict

When to choose each

DeepSeek-V4-Pro

Where it leads

  • Lower input and output prices, $1.32 and $3.96 vs $1.50 and $7.50 per 1M tokens
  • Longer responses, up to 384,000 vs 65,536 output tokens
  • Open weights you can run yourself
  • Cheaper cached input, $0.044 vs $0.075 per 1M tokens

Best for

  • Agentic coding and terminal tasks
  • Long-context jobs that need very long outputs

Watch out for

  • The recorded rates are peak-hour prices (01:00 to 04:00 and 06:00 to 10:00 UTC on weekdays)
  • No image input on the DeepSeek API, where the cheaper deepseek-flash has it
  • DeepSeek had planned to retire it in September before extending service, so check its status before a long commitment

Gemini 4 Hydrogen

Where it leads

  • Higher Arena Text score, 1490 Elo vs 1464 Elo
  • Higher Arena WebDev score, 1704 Elo vs 1581 Elo
  • Accepts image, audio and video input
  • Batch pricing, $0.75 input and $3.75 output per 1M tokens

Best for

  • Everyday coding, tool-using agents and parallel sub-agents at a mid-tier price
  • Document, chart and video workflows over very long multimodal inputs

Watch out for

  • In Google's own table Claude Sonnet 5.5 scores higher on Terminal-Bench 4.1 (63.9% against 57.0%), OSWorld-2.1 (83.9% against 77.6%) and Terminal-Bench-Science 0.1 (59.9% against 51.4%)
  • A request returns at most 65,536 output tokens by default; longer outputs, up to 1,048,576 tokens, need Google long-decode mode, and only implicit context caching is supported
  • Arena places it below Claude Sonnet 5.5 on WebDev (1704 against 1772) and just below Gemini 3.8 Flash on Arena Text (1490 against 1497), on 4,741 text and 1,997 WebDev votes so far; Epoch AI has not measured it yet

From benchmark to production

Building on DeepSeek-V4-Pro or Gemini 4 Hydrogen?

Public scores rarely hold on your own data. We test both models on your real tasks, then build the agent or pipeline around the one that wins.

AI Model Cost AuditLaunch price $100, regular price $150

FAQ

DeepSeek-V4-Pro vs Gemini 4 Hydrogen FAQ

Which is cheaper, DeepSeek-V4-Pro or Gemini 4 Hydrogen?

DeepSeek-V4-Pro is 12% cheaper per 1M input tokens than Gemini 4 Hydrogen, $1.32 vs $1.50. For 10M input and 2M output tokens, DeepSeek-V4-Pro costs $21.12 and Gemini 4 Hydrogen $30 at standard rates.

Which is cheaper with prompt caching, DeepSeek-V4-Pro or Gemini 4 Hydrogen?

DeepSeek-V4-Pro charges $0.044 per 1M cached input tokens, 97% below its standard input rate, and Gemini 4 Hydrogen $0.075, 95% below. With 9M of 10M input tokens cached and 2M output tokens, DeepSeek-V4-Pro costs $9.64 and Gemini 4 Hydrogen $17.18.

Which scores higher on independent benchmarks, DeepSeek-V4-Pro or Gemini 4 Hydrogen?

Gemini 4 Hydrogen leads on Arena Text, 1490 Elo to 1464 Elo; Gemini 4 Hydrogen leads on Arena WebDev, 1704 Elo to 1581 Elo. Scores are independent evaluations, not either vendor's launch figures.

Which has the larger context window, DeepSeek-V4-Pro or Gemini 4 Hydrogen?

Both accept about 1.05M tokens of context (1,000,000 and 1,048,576). DeepSeek-V4-Pro returns up to 384,000 tokens per response, Gemini 4 Hydrogen 65,536.

How do DeepSeek-V4-Pro and Gemini 4 Hydrogen differ in features?

DeepSeek-V4-Pro takes text input; Gemini 4 Hydrogen takes text, image, audio and video.

Can I run DeepSeek-V4-Pro or Gemini 4 Hydrogen myself?

DeepSeek-V4-Pro is released as open weights you can run yourself; Gemini 4 Hydrogen is available through its provider's API only.

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Production evaluation

Choosing between DeepSeek-V4-Pro and Gemini 4 Hydrogen?

Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.

  • A head-to-head evaluation on your real workload
  • Routing between models by cost and difficulty