ZMIME
Comparison · 3 models · Updated Oct 4, 2026

DeepSeek V3 0324 vs Gemini 2.5 Flash-Lite vs Qwen3 8B

Gemini 2.5 Flash-Lite comes out ahead, 71 to 56 and 54 on our weighted score, and it is the cheaper option too.

  1. DeepSeek

    DeepSeek V3 0324

    Released Mar 24, 2025

    54/100
    • ECI135.9
    • Price$0.24 / $0.90
    • Context164K
    Full specs Remove DeepSeek V3 0324
  2. Our pick

    Google

    Gemini 2.5 Flash-Lite

    Released Jun 17, 2025

    71/100
    • ECI133.9
    • Price$0.10 / $0.40
    • Context1.05M
    Full specs Remove Gemini 2.5 Flash-Lite

  3. Alibaba (Qwen)

    Qwen3 8B

    Released Apr 28, 2025

    56/100
    • ECI136.2
    • Price$0.18 / $0.70
    • Context131K
    Full specs Remove Qwen3 8B
01 — Verdict

Gemini 2.5 Flash-Lite is our pick

Gemini 2.5 Flash-Lite is the better all-round choice, scoring 71/100 against Qwen3 8B (56) and DeepSeek V3 0324 (54). It leads on price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen3 8BCapabilities Index (ECI): Qwen3 8B 136.2 · DeepSeek V3 0324 135.9 · Gemini 2.5 Flash-Lite 133.9
  • Lowest priceGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite $0.175 · Qwen3 8B $0.31 · DeepSeek V3 0324 $0.405 per 1M tokens (3:1 blend)
  • Longest contextGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite 1,048,576 · DeepSeek V3 0324 163,840 · Qwen3 8B 131,072 tokens
  • Widest inputsGemini 2.5 Flash-LiteDeepSeek V3 0324: Text · Gemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video · Qwen3 8B: Text
  • Self-hostingDeepSeek V3 0324 and Qwen3 8BPublishes downloadable weights
How the score is built
MeasureWeightDeepSeek V3 0324Gemini 2.5 Flash-LiteQwen3 8B
CapabilityCapabilities Index (ECI)50%605861
Price25%688674
Inputs & features15%2510035
Context window10%286124
Overall100%54/10071/10056/100
02 — Side by side

Every spec in one table

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

DeepSeek V3 0324 vs Gemini 2.5 Flash-Lite vs Qwen3 8B specifications side by side
SpecificationDeepSeek V3 0324DeepSeekGemini 2.5 Flash-LiteGoogleQwen3 8BAlibaba (Qwen)
Capability
Capabilities Index (ECI)135.9133.9136.2 (best)
ECI rank#114 of 148#118 of 148#113 of 148 (best)
GPQA DiamondGraduate-level science questions67.6% (best)—56.8%
OTIS Mock AIME 2024–2025Competition mathematics37.8%—56.1% (best)
Price per million tokens
Input$0.24$0.10 (best)$0.18
Output$0.90$0.40 (best)$0.70
Cached input—$0.01—
Blended (3:1)$0.405$0.175 (best)$0.31
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 5 providersOfficial Google APIOfficial Alibaba API
Limits
Context window163,840 tokens1,048,576 tokens (best)131,072 tokens
Max output163,840 tokens (best)65,536 tokens8,192 tokens
Inputs and features
TextYesYesYes
ImagesNoYesNo
PDFsNoYesNo
AudioNoYesNo
VideoNoYesNo
ReasoningNoYesYes
Tool callingYesYesYes
Structured outputNoYesNo
Availability
WeightsOpenProprietaryOpen
API model ID—gemini-2.5-flash-liteqwen3-8b
API providers520 (best)1
ReleasedMar 24, 2025Jun 17, 2025Apr 28, 2025
Knowledge cutoff—Jan 2025Apr 2025
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 V3 0324$4.20
  • Gemini 2.5 Flash-Lite$1.80
  • Qwen3 8B$3.20
04 — Questions

Which should you choose?

Which is better: DeepSeek V3 0324, Gemini 2.5 Flash-Lite or Qwen3 8B?

Gemini 2.5 Flash-Lite is the better all-round choice, scoring 71/100 against Qwen3 8B (56) and DeepSeek V3 0324 (54). It leads on price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, DeepSeek V3 0324, Gemini 2.5 Flash-Lite or Qwen3 8B?

Gemini 2.5 Flash-Lite is cheaper at $0.10 input / $0.40 output per million tokens (official Google API price). Qwen3 8B costs $0.18 input / $0.70 output per million tokens (official Alibaba API price); DeepSeek V3 0324 costs $0.24 input / $0.90 output per million tokens (median across 5 API providers). At a typical mix of three input tokens to one output token, that is $0.175 per million tokens for Gemini 2.5 Flash-Lite versus $0.31 for Qwen3 8B (1.8× as much) and $0.405 for DeepSeek V3 0324 (2.3× as much).

Which scores higher on benchmarks?

Qwen3 8B scores higher on the Capabilities Index (ECI): Qwen3 8B 136.2 (#113 of 148), DeepSeek V3 0324 135.9 (#114 of 148) and Gemini 2.5 Flash-Lite 133.9 (#118 of 148). The confidence ranges of the top two overlap (129.7–138.1 vs 132.4–138.0), so treat the gap as small.

Which is better for coding?

There are no published SWE-bench Verified results for DeepSeek V3 0324, Gemini 2.5 Flash-Lite and Qwen3 8B yet, so there is no like-for-like coding score. On overall capability, Qwen3 8B 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 2.5 Flash-Lite has the largest context window at 1,048,576 tokens, against 163,840 for DeepSeek V3 0324 and 131,072 for Qwen3 8B. Maximum output per response: DeepSeek V3 0324 up to 163,840, Gemini 2.5 Flash-Lite up to 65,536, Qwen3 8B up to 8,192 tokens.

Which can read images, PDFs, audio or video?

DeepSeek V3 0324 accepts text; Gemini 2.5 Flash-Lite accepts text, images, PDFs, audio and video; Qwen3 8B accepts text. Gemini 2.5 Flash-Lite handles the widest range of inputs.

Are any of these open source?

DeepSeek V3 0324 and Qwen3 8B publishes its weights and can be self-hosted; Gemini 2.5 Flash-Lite is proprietary.

Which is newer?

Gemini 2.5 Flash-Lite is the newest, released Jun 17, 2025. Qwen3 8B came out Apr 28, 2025; DeepSeek V3 0324 came out Mar 24, 2025. Knowledge cutoff: Gemini 2.5 Flash-Lite Jan 2025, Qwen3 8B Apr 2025.

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.

05 — Keep comparing

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