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Model comparison

MiniMax Speech-02 HD vs Qwen3.6-35B-A3B

Updated August 4, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

MiniMax Speech-02 HD

MiniMax

Evidence status unavailable

90% interval unavailable

Qwen3.6-35B-A3B

Alibaba

50.4/100

Estimated · Public rank #112

90% interval 38.9–62.0

The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. Use the documented cost, context, and runtime rows instead.

0 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.

Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

No workload recommendation clears the current evidence threshold.

Use the matched evidence, workload costs, and sourced specifications below instead of treating a point score as a universal answer.

Show secondary and unsupported calls
  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • Agentic work

    Tool use, computer use, and multi-step task completion

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • Long documents

    Prompts that approach the documented context limit

    Not enough matched evidence

    A complete context comparison is not sourced.

    Confidence: limited

  • Chat turn cost

    1K fresh input + 500 output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

  • Cache-heavy agent loop cost

    200K cached + 20K fresh input + 10K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

  • Repository review cost

    50K fresh input + 3K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

What is actually comparable

Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.

Shared results
0
MiniMax Speech-02 HD only
0
Qwen3.6-35B-A3B only
41
Like-for-like categories
0 / 8

Category results, on a stated basis

Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.

Agentic

Not comparable
MiniMax Speech-02 HD
Not measured
Qwen3.6-35B-A3B
51.5
Weighted basis
0 vs 1 rows
Reading
Not comparable

Coding

Not comparable
MiniMax Speech-02 HD
Not measured
Qwen3.6-35B-A3B
73.8
Weighted basis
0 vs 3 rows
Reading
Not comparable

Reasoning

Not comparable
MiniMax Speech-02 HD
Not measured
Qwen3.6-35B-A3B
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Knowledge

Not comparable
MiniMax Speech-02 HD
Not measured
Qwen3.6-35B-A3B
51.4
Weighted basis
0 vs 4 rows
Reading
Not comparable

Math

Not comparable
MiniMax Speech-02 HD
Not measured
Qwen3.6-35B-A3B
88.2
Weighted basis
0 vs 2 rows
Reading
Not comparable

Multilingual

Not comparable
MiniMax Speech-02 HD
Not measured
Qwen3.6-35B-A3B
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
MiniMax Speech-02 HD
Not measured
Qwen3.6-35B-A3B
76.3
Weighted basis
0 vs 2 rows
Reading
Not comparable

Instruction following

Not comparable
MiniMax Speech-02 HD
Not measured
Qwen3.6-35B-A3B
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

A shared-evidence shape is not available.

BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

MiniMax Speech-02 HD
API rate not published
Fit state unavailable
Qwen3.6-35B-A3B
API rate not published
Fits in one request

MiniMax Speech-02 HD has no comparable published API token rate. Qwen3.6-35B-A3B has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

MiniMax Speech-02 HD
API rate not published
Fit state unavailable
Qwen3.6-35B-A3B
API rate not published
Fits in one request

MiniMax Speech-02 HD has no comparable published API token rate. Qwen3.6-35B-A3B has no comparable published API token rate.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

MiniMax Speech-02 HD
API rate not published
Fit state unavailable
Cached-input rate unavailable
Qwen3.6-35B-A3B
API rate not published
Fits in one request
Cached-input rate unavailable

MiniMax Speech-02 HD has no comparable published API token rate. Qwen3.6-35B-A3B has no comparable published API token rate.

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

Context window

Maximum documented context; output-token limits may be lower.

MiniMax Speech-02 HD

N/A

Qwen3.6-35B-A3B

262K

API model ID

MiniMax Speech-02 HD

Not sourced

Qwen3.6-35B-A3B

Not sourced

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

MiniMax Speech-02 HD

No comparable hosted API rate

Qwen3.6-35B-A3B

No comparable hosted API rate

Documented inputs

MiniMax Speech-02 HD

Not sourced

Qwen3.6-35B-A3B

Not sourced

Documented outputs

MiniMax Speech-02 HD

Not sourced

Qwen3.6-35B-A3B

Not sourced

Provider availability

MiniMax Speech-02 HD

Not sourced

Qwen3.6-35B-A3B

Not sourced

Reasoning profile

MiniMax Speech-02 HD

Non-Reasoning

Qwen3.6-35B-A3B

Reasoning

Weight access

MiniMax Speech-02 HD

Proprietary

Qwen3.6-35B-A3B

Open Weight

License

MiniMax Speech-02 HD

Proprietary

Qwen3.6-35B-A3B

Open Weight

Release date

MiniMax Speech-02 HD

Not sourced

Qwen3.6-35B-A3B

2026-04-15

If you already use one of these models
Deployment change
The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
Quality signal
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
A complete documented context comparison is not available.

Run the same representative tasks against both endpoints before changing production traffic.

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence41 rows

Agentic

  • Terminal-Bench 2.0

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B51.5%
    Source

    Not directly comparable

  • Claw-Eval

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B68.7%
    Source

    Not directly comparable

  • QwenClawBench

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B52.6%
    Source

    Not directly comparable

  • QwenWebBench

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B1397
    Source

    Not directly comparable

  • τ³-bench results

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B67.2%
    Source

    Not directly comparable

  • VITA-Bench

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B35.6%
    Source

    Not directly comparable

  • DeepPlanning

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B25.9%
    Source

    Not directly comparable

  • Toolathlon

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B26.9%
    Source

    Not directly comparable

  • MCP Atlas

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B62.8%
    Source

    Not directly comparable

  • WideResearch

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B60.1%
    Source

    Not directly comparable

  • Gert Labs

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B42.65%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B73.4%
    Source

    Not directly comparable

  • SWE Multilingual

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B67.2%
    Source

    Not directly comparable

  • SWE-bench Pro

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B49.5%
    Source

    Not directly comparable

  • Terminal-Bench 2.0

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B51.5%
    Source

    Not directly comparable

  • LiveCodeBench

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B80.4%
    Source

    Not directly comparable

  • NL2Repo

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B29.4%
    Source

    Not directly comparable

Knowledge

  • MMLU-Pro

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B85.2%
    Source

    Not directly comparable

  • SuperGPQA

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B64.7%
    Source

    Not directly comparable

  • C-Eval

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B90%
    Source

    Not directly comparable

  • GPQA

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B86%
    Source

    Not directly comparable

  • HLE

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B21.4%
    Source

    Not directly comparable

Math

  • HMMT Feb 2025

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B90.7%
    Source

    Not directly comparable

  • HMMT Nov 2025

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B89.1%
    Source

    Not directly comparable

  • HMMT Feb 2026

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B83.6%
    Source

    Not directly comparable

  • MMAnswerBench

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B78.9%
    Source

    Not directly comparable

  • AIME26

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B92.7%
    Source

    Not directly comparable

Multimodal

  • MMMU

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B81.7%
    Source

    Not directly comparable

  • MMMU-Pro

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B75.3%
    Source

    Not directly comparable

  • RealWorldQA

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B85.3%
    Source

    Not directly comparable

  • OmniDocBench 1.5

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B89.9%
    Source

    Not directly comparable

  • CharXiv

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B78%
    Source

    Not directly comparable

  • SimpleVQA

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B58.9%
    Source

    Not directly comparable

  • CC-OCR

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B81.9%
    Source

    Not directly comparable

  • AI2D_TEST

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B92.7%
    Source

    Not directly comparable

  • RefCOCO (avg)

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B92.0%
    Source

    Not directly comparable

  • ODINW13

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B50.8%
    Source

    Not directly comparable

  • Video-MME (with subtitle)

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B86.6%
    Source

    Not directly comparable

  • Video-MME (w/o subtitle)

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B82.5%
    Source

    Not directly comparable

  • VideoMMMU

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B83.7%
    Source

    Not directly comparable

  • MLVU (M-Avg)

    MiniMax Speech-02 HD
    Qwen3.6-35B-A3B86.2%
    Source

    Not directly comparable

Frequently asked questions

Which is better, MiniMax Speech-02 HD or Qwen3.6-35B-A3B?

The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, MiniMax Speech-02 HD or Qwen3.6-35B-A3B?

The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.

Which is better for agentic tasks, MiniMax Speech-02 HD or Qwen3.6-35B-A3B?

The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.

Which costs less, MiniMax Speech-02 HD or Qwen3.6-35B-A3B?

Both models do not have comparable published API token rates, so this page does not name a universal price winner.

Which has the larger context window, MiniMax Speech-02 HD or Qwen3.6-35B-A3B?

A complete documented context-window comparison is not available.

Related comparisons

Last updated August 4, 2026

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