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    Anthropic · Google (Gemma)

    Claude Haiku 4.5 vs Gemma 4

    Compare Claude Haiku 4.5 (Anthropic) and Gemma 4 (Google (Gemma)) on benchmarks, capabilities, and pricing.

    At a glance

    Claude Haiku 4.5Gemma 4
    ProviderAnthropicGoogle (Gemma)
    Context200K tokens128K-256K tokens (variant-dependent)
    ModalityMultimodalMultimodal
    PricingProPro
    SpeedFastMedium
    ReasoningAdvancedExpert

    Benchmarks

    Claude Haiku 4.5

    AA Intelligence Index
    15.4points
    Artificial Analysis · Date unknownAge unknown
    Output speed
    92.11tokens/s
    Configuration: Prompt length: 1,000 · Parallel queries: 1
    Artificial Analysis · Date unknownAge unknown
    API input cost
    $1.00/ 1M tokens
    Artificial Analysis · Date unknownAge unknown
    API output cost
    $5.00/ 1M tokens
    Artificial Analysis · Date unknownAge unknown
    Context window
    200K
    Catalog · As of Aug 11, 2026Stale · 31d old

    Benchmark variant: Claude 4.5 Haiku (Non-reasoning)

    AA data retrieved Sep 11, 2026 · Artificial Analysis

    Gemma 4

    AA Intelligence Index
    15.4points
    Artificial Analysis · Date unknownAge unknown
    Output speed
    34.57tokens/s
    Configuration: Prompt length: 1,000 · Parallel queries: 1
    Artificial Analysis · Date unknownAge unknown
    API input cost
    $0.00/ 1M tokens
    Artificial Analysis · Date unknownAge unknown
    API output cost
    $0.00/ 1M tokens
    Artificial Analysis · Date unknownAge unknown
    Context window
    256K
    Catalog · As of Aug 11, 2026Stale · 31d old

    Benchmark variant: Gemma 4 31B (Reasoning)

    AA data retrieved Sep 11, 2026 · Artificial Analysis

    When to pick Claude Haiku 4.5

    Choose Claude Haiku 4.5 for hosted, low-latency tasks where you want quick first-token response times through Anthropic's API. Fits high-volume customer support triage, real-time chat moderation, ticket classification, and embedded assistants inside SaaS products where managed infrastructure, integrated safety tooling, and broad ecosystem connectors matter more than running weights yourself.

    When to pick Gemma 4

    Choose Gemma 4 when you need an open-weight lightweight model for on-device deployment, edge inference, or self-hosted serving with predictable per-GPU cost. Suits mobile apps wanting offline summarization, embedded assistants in IoT hardware, internal tools running on a single workstation, and research teams fine-tuning a permissively licensed checkpoint for narrow domains.

    Try both on yno.ai

    Switch between Claude Haiku 4.5 and Gemma 4 per task with one account.

    Frequently asked

    Which is faster, Claude Haiku 4.5 or Gemma 4?
    Claude Haiku 4.5 is rated fast and Gemma 4 is rated medium. yno.ai surfaces output-speed scores from Artificial Analysis on each model's detail page so you can compare exact tokens-per-second figures for your workload.
    Which is cheaper, Claude Haiku 4.5 or Gemma 4?
    Claude Haiku 4.5 is on the pro tier in yno.ai; Gemma 4 is on the pro tier. See the pricing page for the latest per-tier limits.
    Which is better for Customer support?
    Both models support Customer support. Claude Haiku 4.5 brings Text and image input; Gemma 4 brings Apache 2.0 open weights. Run a side-by-side eval on your prompts in yno.ai to see which fits your workload.
    Can I use both Claude Haiku 4.5 and Gemma 4 in yno.ai?
    Yes. Both are available on yno.ai under your single account; you can route different stages of an agent to different models or A/B test them on the same prompt without per-provider boilerplate.

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