ZMIME
Comparison · 3 models · Updated Nov 2, 2026

Baichuan M2 32B vs Claude Haiku 4.5 vs Qwen3 VL Flash (Alibaba Cloud)

Qwen3 VL Flash (Alibaba Cloud) comes out ahead, 72 to 58 and 47 on our weighted score.

  1. Baichuan

    Baichuan M2 32B

    Released Aug 13, 2025

    58/100
    • ECI—
    • Price$0.07 / $0.07
    • Context131K
  2. Anthropic

    Claude Haiku 4.5

    Released Oct 15, 2025

    47/100
    • ECI142.2
    • Price$1.00 / $5.00
    • Context200K
  3. Our pick

    Alibaba (Qwen)

    Qwen3 VL Flash (Alibaba Cloud)

    Released Oct 15, 2025

    72/100
    • ECI—
    • Price$0.022 / $0.215
    • Context262K
01 — Verdict

Qwen3 VL Flash (Alibaba Cloud) is our pick

Qwen3 VL Flash (Alibaba Cloud) is the better all-round choice, scoring 72/100 against Baichuan M2 32B (58) and Claude Haiku 4.5 (47). It leads on context window. Claude Haiku 4.5 wins on 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 priceBaichuan M2 32BBaichuan M2 32B $0.07 · Qwen3 VL Flash (Alibaba Cloud) $0.07 · Claude Haiku 4.5 $2.00 per 1M tokens (3:1 blend)
  • Longest contextQwen3 VL Flash (Alibaba Cloud)Qwen3 VL Flash (Alibaba Cloud) 262,144 · Claude Haiku 4.5 200,000 · Baichuan M2 32B 131,072 tokens
  • Widest inputsClaude Haiku 4.5Baichuan M2 32B: Text · Claude Haiku 4.5: Text, Images, PDFs · Qwen3 VL Flash (Alibaba Cloud): Text, Images
  • Self-hostingBaichuan M2 32BPublishes downloadable weights (Apache-2.0)
How the score is built
MeasureWeightBaichuan M2 32BClaude Haiku 4.5Qwen3 VL Flash (Alibaba Cloud)
Price50%10034100
Inputs & features30%108050
Context window20%253237
Overall100%58/10047/10072/100

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.

Baichuan M2 32B vs Claude Haiku 4.5 vs Qwen3 VL Flash (Alibaba Cloud) specifications side by side
SpecificationBaichuan M2 32BBaichuanClaude Haiku 4.5AnthropicQwen3 VL Flash (Alibaba Cloud)Alibaba (Qwen)
Capability
Capabilities Index (ECI)—142.2—
ECI rank—#102 of 165—
GPQA DiamondGraduate-level science questions—71.2%—
OTIS Mock AIME 2024–2025Competition mathematics—66.7%—
SimpleQA VerifiedShort factual questions—13.2%—
Price per million tokens
Input$0.07$1.00$0.022 (best)
Output$0.07 (best)$5.00$0.215
Cached input—$0.10—
Blended (3:1)$0.07 (best)$2.00$0.07
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 1 providersOfficial Anthropic APIMedian of 1 providers
Limits
Context window131,072 tokens200,000 tokens262,144 tokens (best)
Max output131,072 tokens (best)64,000 tokens32,768 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoYesNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesYesNo
Tool callingNoYesYes
Structured outputNoYesNo
Availability
WeightsOpenApache-2.0ProprietaryProprietary
API model ID—claude-haiku-4-5—
API providers148 (best)1
ReleasedAug 13, 2025Oct 15, 2025Oct 15, 2025
Knowledge cutoff—Feb 28, 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.

  • Baichuan M2 32B$0.84
  • Claude Haiku 4.5$20.00
  • Qwen3 VL Flash (Alibaba Cloud)$0.65
04 — Questions

Which should you choose?

Which is better: Baichuan M2 32B, Claude Haiku 4.5 or Qwen3 VL Flash (Alibaba Cloud)?

Qwen3 VL Flash (Alibaba Cloud) is the better all-round choice, scoring 72/100 against Baichuan M2 32B (58) and Claude Haiku 4.5 (47). It leads on context window. Claude Haiku 4.5 wins on 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, Baichuan M2 32B, Claude Haiku 4.5 or Qwen3 VL Flash (Alibaba Cloud)?

Baichuan M2 32B is cheaper at $0.07 input / $0.07 output per million tokens (median across 1 API provider). Qwen3 VL Flash (Alibaba Cloud) costs $0.022 input / $0.215 output per million tokens (median across 1 API provider); Claude Haiku 4.5 costs $1.00 input / $5.00 output per million tokens (official Anthropic API price). At a typical mix of three input tokens to one output token, that is $0.07 per million tokens for Baichuan M2 32B versus $0.07 for Qwen3 VL Flash (Alibaba Cloud) (1× as much) and $2.00 for Claude Haiku 4.5 (29× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Baichuan M2 32B has not been scored yet, Claude Haiku 4.5 has an ECI of 142.2 and Qwen3 VL Flash (Alibaba Cloud) has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Baichuan M2 32B, Claude Haiku 4.5 and Qwen3 VL Flash (Alibaba Cloud) yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Baichuan M2 32B does not support tool calling, which most coding agents need.

Which has the bigger context window?

Qwen3 VL Flash (Alibaba Cloud) has the largest context window at 262,144 tokens, against 200,000 for Claude Haiku 4.5 and 131,072 for Baichuan M2 32B. Maximum output per response: Baichuan M2 32B up to 131,072, Claude Haiku 4.5 up to 64,000, Qwen3 VL Flash (Alibaba Cloud) up to 32,768 tokens.

Which can read images, PDFs, audio or video?

Baichuan M2 32B accepts text; Claude Haiku 4.5 accepts text, images and PDFs; Qwen3 VL Flash (Alibaba Cloud) accepts text and images. Claude Haiku 4.5 handles the widest range of inputs.

Are any of these open source?

Baichuan M2 32B publishes its weights (Apache-2.0) and can be self-hosted; Claude Haiku 4.5 and Qwen3 VL Flash (Alibaba Cloud) is proprietary.

Which is newer?

Claude Haiku 4.5 is the newest, released Oct 15, 2025. Qwen3 VL Flash (Alibaba Cloud) came out Oct 15, 2025; Baichuan M2 32B came out Aug 13, 2025. Knowledge cutoff: Claude Haiku 4.5 Feb 28, 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 Nov 2, 2026.