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Comparison · 3 models · Updated Oct 4, 2026

Llama 4 Maverick 17B Instruct vs Qwen3 14B vs DeepSeek-V3

Llama 4 Maverick 17B Instruct comes out ahead, 58 to 54 and 50 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Meta

    Llama 4 Maverick 17B Instruct

    Released Apr 5, 2025

    58/100
    • ECI132.2
    • Price$0.321 / $0.91
    • Context1M
    Full specs Remove Llama 4 Maverick 17B Instruct

  2. Alibaba (Qwen)

    Qwen3 14B

    Released Apr 29, 2025

    54/100
    • ECI138.2
    • Price$0.35 / $1.40
    • Context131K
    Full specs Remove Qwen3 14B

  3. DeepSeek

    DeepSeek-V3

    Released Dec 26, 2024

    50/100
    • ECI132.3
    • Price$0.32 / $1.10
    • Context131K
    Full specs Remove DeepSeek-V3
01 — Verdict

Llama 4 Maverick 17B Instruct is our pick

Llama 4 Maverick 17B Instruct is the better all-round choice, scoring 58/100 against Qwen3 14B (54) and DeepSeek-V3 (50). It leads on price, inputs & features and context window. Qwen3 14B wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen3 14BCapabilities Index (ECI): Qwen3 14B 138.2 · DeepSeek-V3 132.3 · Llama 4 Maverick 17B Instruct 132.2
  • Lowest priceLlama 4 Maverick 17B InstructLlama 4 Maverick 17B Instruct $0.468 · DeepSeek-V3 $0.515 · Qwen3 14B $0.613 per 1M tokens (3:1 blend)
  • Longest contextLlama 4 Maverick 17B InstructLlama 4 Maverick 17B Instruct 1,000,000 · Qwen3 14B 131,072 · DeepSeek-V3 131,072 tokens
  • Widest inputsLlama 4 Maverick 17B InstructLlama 4 Maverick 17B Instruct: Text, Images · Qwen3 14B: Text · DeepSeek-V3: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightLlama 4 Maverick 17B InstructQwen3 14BDeepSeek-V3
CapabilityCapabilities Index (ECI)50%566356
Price25%666064
Inputs & features15%503525
Context window10%602424
Overall100%58/10054/10050/100
02 — Side by side

Every spec in one table

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

Llama 4 Maverick 17B Instruct vs Qwen3 14B vs DeepSeek-V3 specifications side by side
SpecificationLlama 4 Maverick 17B InstructMetaQwen3 14BAlibaba (Qwen)DeepSeek-V3DeepSeek
Capability
Capabilities Index (ECI)132.2138.2 (best)132.3
ECI rank#122 of 148#107 of 148 (best)#121 of 148
GPQA DiamondGraduate-level science questions67.0% (best)63.8%56.5%
OTIS Mock AIME 2024–2025Competition mathematics20.6%66.4% (best)15.8%
Price per million tokens
Input$0.321$0.35$0.32 (best)
Output$0.91 (best)$1.40$1.10
Cached input———
Blended (3:1)$0.468 (best)$0.613$0.515
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 6 providersOfficial Alibaba APIMedian of 5 providers
Limits
Context window1,000,000 tokens (best)131,072 tokens131,072 tokens
Max output16,384 tokens (best)8,192 tokens8,192 tokens
Inputs and features
TextYesYesYes
ImagesYesNoNo
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoYesNo
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsOpenOpenOpenDeepSeek Model License
API model ID—qwen3-14b—
API providers6 (best)15
ReleasedApr 5, 2025Apr 29, 2025Dec 26, 2024
Knowledge cutoffAug 2024Apr 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.

  • Llama 4 Maverick 17B Instruct$5.03
  • Qwen3 14B$6.30
  • DeepSeek-V3$5.40
04 — Questions

Which should you choose?

Which is better: Llama 4 Maverick 17B Instruct, Qwen3 14B or DeepSeek-V3?

Llama 4 Maverick 17B Instruct is the better all-round choice, scoring 58/100 against Qwen3 14B (54) and DeepSeek-V3 (50). It leads on price, inputs & features and context window. Qwen3 14B wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Llama 4 Maverick 17B Instruct, Qwen3 14B or DeepSeek-V3?

Llama 4 Maverick 17B Instruct is cheaper at $0.321 input / $0.91 output per million tokens (median across 6 API providers). DeepSeek-V3 costs $0.32 input / $1.10 output per million tokens (median across 5 API providers); Qwen3 14B costs $0.35 input / $1.40 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.468 per million tokens for Llama 4 Maverick 17B Instruct versus $0.515 for DeepSeek-V3 (1.1× as much) and $0.613 for Qwen3 14B (1.3× as much).

Which scores higher on benchmarks?

Qwen3 14B scores higher on the Capabilities Index (ECI): Qwen3 14B 138.2 (#107 of 148), DeepSeek-V3 132.3 (#121 of 148) and Llama 4 Maverick 17B Instruct 132.2 (#122 of 148). The confidence ranges of the top two overlap (133.5–140.1 vs 127.5–135.5), so treat the gap as small. On individual benchmarks: GPQA Diamond — Llama 4 Maverick 17B Instruct 67.0%, Qwen3 14B 63.8%, DeepSeek-V3 56.5%; OTIS Mock AIME 2024–2025 — Qwen3 14B 66.4%, Llama 4 Maverick 17B Instruct 20.6%, DeepSeek-V3 15.8%.

Which is better for coding?

There are no published SWE-bench Verified results for Llama 4 Maverick 17B Instruct, Qwen3 14B and DeepSeek-V3 yet, so there is no like-for-like coding score. On overall capability, Qwen3 14B 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?

Llama 4 Maverick 17B Instruct has the largest context window at 1,000,000 tokens, against 131,072 for Qwen3 14B and 131,072 for DeepSeek-V3. Maximum output per response: Llama 4 Maverick 17B Instruct up to 16,384, Qwen3 14B up to 8,192, DeepSeek-V3 up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Llama 4 Maverick 17B Instruct accepts text and images; Qwen3 14B accepts text; DeepSeek-V3 accepts text. Llama 4 Maverick 17B Instruct handles the widest range of inputs.

Are any of these open source?

Yes, all three publish their weights (DeepSeek Model License), so you can self-host them.

Which is newer?

Qwen3 14B is the newest, released Apr 29, 2025. Llama 4 Maverick 17B Instruct came out Apr 5, 2025; DeepSeek-V3 came out Dec 26, 2024. Knowledge cutoff: Llama 4 Maverick 17B Instruct Aug 2024, Qwen3 14B 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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