ZMIME
Comparison · 3 models · Updated Oct 4, 2026

DeepSeek V4.1 Flash vs Gemini 3.6 Flash vs Muse Spark 1.1

DeepSeek V4.1 Flash comes out ahead, 78 to 73 and 70 on our weighted score, and it is the cheaper option too.

  1. Our pick

    DeepSeek

    DeepSeek V4.1 Flash

    Released Sep 10, 2026

    78/100
    • ECI155.0
    • Price$0.15 / $0.60
    • Context1M
  2. Google

    Gemini 3.6 Flash

    Released Jul 21, 2026

    73/100
    • ECI154.3
    • Price$0.75 / $3.75
    • Context1.05M
  3. Meta

    Muse Spark 1.1

    Released Jul 9, 2026

    70/100
    • ECI154.3
    • Price$1.25 / $4.25
    • Context1.05M
01 — Verdict

DeepSeek V4.1 Flash is our pick

DeepSeek V4.1 Flash is the better all-round choice, scoring 78/100 against Gemini 3.6 Flash (73) and Muse Spark 1.1 (70). It leads on price. Gemini 3.6 Flash wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityDeepSeek V4.1 FlashCapabilities Index (ECI): DeepSeek V4.1 Flash 155.0 · Gemini 3.6 Flash 154.3 · Muse Spark 1.1 154.3
  • Lowest priceDeepSeek V4.1 FlashDeepSeek V4.1 Flash $0.263 · Gemini 3.6 Flash $1.50 · Muse Spark 1.1 $2.00 per 1M tokens (3:1 blend)
  • Longest contextGemini 3.6 Flash and Muse Spark 1.1Gemini 3.6 Flash 1,048,576 · Muse Spark 1.1 1,048,576 · DeepSeek V4.1 Flash 1,000,000 tokens
  • Widest inputsGemini 3.6 FlashDeepSeek V4.1 Flash: Text, Images · Gemini 3.6 Flash: Text, Images, PDFs, Audio, Video · Muse Spark 1.1: Text, Images, PDFs, Video
  • Self-hostingDeepSeek V4.1 FlashPublishes downloadable weights (MIT)
How the score is built
MeasureWeightDeepSeek V4.1 FlashGemini 3.6 FlashMuse Spark 1.1
CapabilityCapabilities Index (ECI)50%848484
Price25%774236
Inputs & features15%7010090
Context window10%606161
Overall100%78/10073/10070/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

DeepSeek V4.1 Flash vs Gemini 3.6 Flash vs Muse Spark 1.1 specifications side by side
SpecificationDeepSeek V4.1 FlashDeepSeekGemini 3.6 FlashGoogleMuse Spark 1.1Meta
Capability
Capabilities Index (ECI)155.0 (best)154.3154.3
ECI rank#29 of 148 (best)#34 of 148#35 of 148
GPQA DiamondGraduate-level science questions—94.1%—
FrontierMath Tiers 1–3Research-level mathematics—59.0%—
OTIS Mock AIME 2024–2025Competition mathematics—94.2%—
SimpleQA VerifiedShort factual questions—66.2% (best)57.8%
Price per million tokens
Input$0.15 (best)$0.75$1.25
Output$0.60 (best)$3.75$4.25
Cached input$0.003 (best)$0.075$0.15
Blended (3:1)$0.263 (best)$1.50$2.00
Long-context rateSame rateSame rateSame rate
Price sourceOfficial DeepSeek APIOfficial Google APIOfficial Meta API
Limits
Context window1,000,000 tokens1,048,576 tokens (best)1,048,576 tokens (best)
Max output384,000 tokens (best)65,536 tokens131,072 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoYesYes
AudioNoYesNo
VideoNoYesYes
ReasoningYeslow · high · maxYesminimal · low · medium · highYesminimal · low · medium · high · xhigh
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsOpenMITProprietaryProprietary
API model IDdeepseek-flashgemini-3.6-flashmuse-spark-1.1
API providers50 (best)2513
ReleasedSep 10, 2026Jul 21, 2026Jul 9, 2026
Knowledge cutoffMay 2025Mar 2026—
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • DeepSeek V4.1 Flash$2.70
  • Gemini 3.6 Flash$15.00
  • Muse Spark 1.1$21.00
04 — Questions

Which should you choose?

Which is better: DeepSeek V4.1 Flash, Gemini 3.6 Flash or Muse Spark 1.1?

DeepSeek V4.1 Flash is the better all-round choice, scoring 78/100 against Gemini 3.6 Flash (73) and Muse Spark 1.1 (70). It leads on price. Gemini 3.6 Flash wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, DeepSeek V4.1 Flash, Gemini 3.6 Flash or Muse Spark 1.1?

DeepSeek V4.1 Flash is cheaper at $0.15 input / $0.60 output per million tokens (official DeepSeek API price). Gemini 3.6 Flash costs $0.75 input / $3.75 output per million tokens (official Google API price); Muse Spark 1.1 costs $1.25 input / $4.25 output per million tokens (official Meta API price). At a typical mix of three input tokens to one output token, that is $0.263 per million tokens for DeepSeek V4.1 Flash versus $1.50 for Gemini 3.6 Flash (5.7× as much) and $2.00 for Muse Spark 1.1 (7.6× as much).

Which scores higher on benchmarks?

DeepSeek V4.1 Flash scores higher on the Capabilities Index (ECI): DeepSeek V4.1 Flash 155.0 (#29 of 148), Gemini 3.6 Flash 154.3 (#34 of 148) and Muse Spark 1.1 154.3 (#35 of 148). The confidence ranges of the top two overlap (148.8–157.6 vs 152.6–156.3), so treat the gap as small.

Which is better for coding?

There are no published SWE-bench Verified results for DeepSeek V4.1 Flash, Gemini 3.6 Flash and Muse Spark 1.1 yet, so there is no like-for-like coding score. On overall capability, DeepSeek V4.1 Flash leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Which has the bigger context window?

Gemini 3.6 Flash and Muse Spark 1.1 have the largest context windows (1,048,576 and 1,048,576 tokens), against 1,000,000 for DeepSeek V4.1 Flash. Maximum output per response: DeepSeek V4.1 Flash up to 384,000, Gemini 3.6 Flash up to 65,536, Muse Spark 1.1 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

DeepSeek V4.1 Flash accepts text and images; Gemini 3.6 Flash accepts text, images, PDFs, audio and video; Muse Spark 1.1 accepts text, images, PDFs and video. Gemini 3.6 Flash handles the widest range of inputs.

Are any of these open source?

DeepSeek V4.1 Flash publishes its weights (MIT) and can be self-hosted; Gemini 3.6 Flash and Muse Spark 1.1 is proprietary.

Which is newer?

DeepSeek V4.1 Flash is the newest, released Sep 10, 2026. Gemini 3.6 Flash came out Jul 21, 2026; Muse Spark 1.1 came out Jul 9, 2026. Knowledge cutoff: DeepSeek V4.1 Flash May 2025, Gemini 3.6 Flash Mar 2026.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.