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Comparison · 3 models · Updated Oct 4, 2026

Sonar Deep Research vs Nova Micro vs Qwen-MT Plus

Nova Micro comes out ahead, 62 to 20 and 12 on our weighted score, and it is the cheaper option too.

  1. Perplexity

    Sonar Deep Research

    Released Feb 1, 2025

    20/100
    • ECI—
    • Price$2.00 / $8.00
    • Context128K
  2. Our pick

    Amazon

    Nova Micro

    Released Dec 3, 2024

    62/100
    • ECI—
    • Price$0.035 / $0.14
    • Context128K
  3. Alibaba (Qwen)

    Qwen-MT Plus

    Released Jan 2025

    12/100
    • ECI—
    • Price$2.46 / $7.37
    • Context16K
01 — Verdict

Nova Micro is our pick

Nova Micro is the better all-round choice, scoring 62/100 against Sonar Deep Research (20) and Qwen-MT Plus (12). It leads on price and inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceNova MicroNova Micro $0.061 · Sonar Deep Research $3.50 · Qwen-MT Plus $3.69 per 1M tokens (3:1 blend)
  • Longest contextSonar Deep Research and Nova MicroSonar Deep Research 128,000 · Nova Micro 128,000 · Qwen-MT Plus 16,384 tokens
  • Widest inputsSame inputsSonar Deep Research: Text · Nova Micro: Text · Qwen-MT Plus: Text
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightSonar Deep ResearchNova MicroQwen-MT Plus
Price50%2410023
Inputs & features30%10250
Context window20%24240
Overall100%20/10062/10012/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

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

Sonar Deep Research vs Nova Micro vs Qwen-MT Plus specifications side by side
SpecificationSonar Deep ResearchPerplexityNova MicroAmazonQwen-MT PlusAlibaba (Qwen)
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$2.00$0.035 (best)$2.46
Output$8.00$0.14 (best)$7.37
Cached input—$0.0088—
Blended (3:1)$3.50$0.061 (best)$3.69
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Perplexity APIOfficial Amazon Bedrock APIOfficial Alibaba API
Limits
Context window128,000 tokens (best)128,000 tokens (best)16,384 tokens
Max output32,768 tokens (best)10,000 tokens8,192 tokens
Inputs and features
TextYesYesYes
ImagesNoNoNo
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesminimal · low · medium · highNoNo
Tool callingNoYesNo
Structured outputNoNoNo
Availability
WeightsProprietaryProprietaryProprietary
API model IDsonar-deep-researchamazon.nova-micro-v1:0qwen-mt-plus
API providers3 (best)3 (best)1
ReleasedFeb 1, 2025Dec 3, 2024Jan 2025
Knowledge cutoffJan 2025Oct 2024Apr 2024
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.

  • Sonar Deep Research$36.00
  • Nova Micro$0.63
  • Qwen-MT Plus$39.34
04 — Questions

Which should you choose?

Which is better: Sonar Deep Research, Nova Micro or Qwen-MT Plus?

Nova Micro is the better all-round choice, scoring 62/100 against Sonar Deep Research (20) and Qwen-MT Plus (12). It leads on price and inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Sonar Deep Research, Nova Micro or Qwen-MT Plus?

Nova Micro is cheaper at $0.035 input / $0.14 output per million tokens (official Amazon Bedrock API price). Sonar Deep Research costs $2.00 input / $8.00 output per million tokens (official Perplexity API price); Qwen-MT Plus costs $2.46 input / $7.37 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.061 per million tokens for Nova Micro versus $3.50 for Sonar Deep Research (57× as much) and $3.69 for Qwen-MT Plus (60× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Sonar Deep Research has not been scored yet, Nova Micro has not been scored yet and Qwen-MT Plus has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Sonar Deep Research, Nova Micro and Qwen-MT Plus yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Sonar Deep Research and Qwen-MT Plus does not support tool calling, which most coding agents need.

Which has the bigger context window?

Sonar Deep Research and Nova Micro have the largest context windows (128,000 and 128,000 tokens), against 16,384 for Qwen-MT Plus. Maximum output per response: Sonar Deep Research up to 32,768, Nova Micro up to 10,000, Qwen-MT Plus up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Sonar Deep Research accepts text; Nova Micro accepts text; Qwen-MT Plus accepts text. They handle the same number of input types.

Are any of these open source?

No. Sonar Deep Research, Nova Micro and Qwen-MT Plus are proprietary and only available through APIs and apps.

Which is newer?

Sonar Deep Research is the newest, released Feb 1, 2025. Qwen-MT Plus came out Jan 2025; Nova Micro came out Dec 3, 2024. Knowledge cutoff: Sonar Deep Research Jan 2025, Nova Micro Oct 2024, Qwen-MT Plus Apr 2024.

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.