Command A+ vs Gemma 4 31B

    Comparison

    As of August 20, 2026, Gemma 4 31B is 96% cheaper per million tokens than Command A+. Command A+ is $2.50 / $10.00 per million input/output tokens versus Gemma 4 31B at $0.14 / $0.40. Sources: https://anotherwrapper.com/tools/llm-pricing and https://ai.google.dev/gemini-api/docs/pricing

    Sources: AnotherWrapper LLM pricing (https://anotherwrapper.com/tools/llm-pricing); Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing)

    Command A+

    Cohere

    $12.50blended / 1M

    Input

    $2.50

    Output

    $10.00

    ctx|Open Source
    96%
    cheaper
    Better value

    Gemma 4 31B

    Google

    $0.54blended / 1M

    Input

    $0.14

    Output

    $0.40

    262.1K ctx|Open Source
    Save $11.96 per million tokens by choosing Gemma 4 31B over Command A+.

    Command A+ vs Gemma 4 31B comparison

    Token pricing, specs, and benchmarks side by side

    Metric
    Command A+
    Gemma 4 31B
    Provider
    Provider
    Cohere
    Google
    License
    Open Source
    Open Source
    Release Date
    2026-05-20
    2026-04-02
    Pricing (per 1M tokens)
    Input Price+1686%
    $2.50
    $0.14
    Output Price+2400%
    $10.00
    $0.40
    Blended (1M + 1M)
    $12.50
    $0.54
    Model Details
    Context Window
    N/A
    262.1K
    Max Output Tokens
    N/A
    131.1K
    Knowledge Cutoff
    N/A
    2025-01-01
    Throughput
    N/A
    1.2030715399542904 tok/s
    Benchmark Wins
    Command A+ 0|3 Gemma 4 31B

    Verdict

    Command A+ vs Gemma 4 31B: the bottom line

    Gemma 4 31B offers both lower pricing and stronger benchmark performance across the board, making it the clear value leader in this comparison.

    Command A+ vs Gemma 4 31B FAQ

    Which is cheaper, Command A+ or Gemma 4 31B?

    As of August 20, 2026, Gemma 4 31B is 96% cheaper on blended LLM API pricing. Gemma 4 31B costs $0.14 per million input tokens and $0.40 per million output tokens ($0.54 blended 1M-in + 1M-out). Command A+ costs $2.50 / $10.00 per million tokens ($12.50 blended). Sources: https://anotherwrapper.com/tools/llm-pricing and https://ai.google.dev/gemini-api/docs/pricing. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does Command A+ vs Gemma 4 31B cost per million tokens?

    Command A+ Cohere API pricing is $2.50 input and $10.00 output per million tokens via Cohere. Gemma 4 31B Gemini API pricing is $0.14 input and $0.40 output per million tokens via Google. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

    Which is better for coding, Command A+ or Gemma 4 31B?

    Neither Command A+ nor Gemma 4 31B has a published SWE-bench or LiveCodeBench score on this page yet. Use the comparison table for the evals that do exist.

    What is the context window for Command A+ vs Gemma 4 31B?

    Command A+ supports a token context window, while Gemma 4 31B supports 262K tokens. Gemma 4 31B offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.

    Which model performs better on benchmarks, Command A+ or Gemma 4 31B?

    Gemma 4 31B leads on 3 of 3 shared benchmarks versus Command A+'s 0 wins. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.

    Is Command A+ or Gemma 4 31B better for production use?

    Both Command A+ and Gemma 4 31B are production API models. For cost-sensitive production traffic, Gemma 4 31B has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.

    Can I switch between Command A+ and Gemma 4 31B in my app?

    Yes. Call Command A+ through Cohere and Gemma 4 31B through Google with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.

    How accurate is this Command A+ vs Gemma 4 31B pricing data?

    List rates are the latest published Cohere API pricing and Gemini API pricing, quoted per million tokens. Official rate sheets: https://anotherwrapper.com/tools/llm-pricing and https://ai.google.dev/gemini-api/docs/pricing. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.

    What is the output token limit for Command A+ and Gemma 4 31B?

    Command A+ supports up to an unspecified number of output tokens per request, while Gemma 4 31B supports up to 131K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.

    Which model has better throughput, Command A+ or Gemma 4 31B?

    Gemma 4 31B has a measured throughput of approximately 1.2030715399542904 tokens/second. Throughput data for Command A+ is not yet available. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.

    How do I switch the models in this Command A+ vs Gemma 4 31B comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Command A+ or Gemma 4 31B from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

    Command A+ vs Gemma 4 31B pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Command A+ costs $2.50/M input and $10.00/M output. Gemma 4 31B costs $0.14/M input and $0.40/M output.

    Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.

    The index

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