Gemma 3n E2B Instructed vs Jamba 1.5 Mini

    Comparison

    As of August 30, 2026, Gemma 3n E2B Instructed is 90% cheaper per million tokens than Jamba 1.5 Mini. Gemma 3n E2B Instructed is $0.02 / $0.04 per million input/output tokens versus Jamba 1.5 Mini at $0.20 / $0.40. Sources: https://ai.google.dev/gemini-api/docs/pricing and https://anotherwrapper.com/tools/llm-pricing

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

    Better value

    Gemma 3n E2B Instructed

    Google

    $0.06blended / 1M

    Input

    $0.02

    Output

    $0.04

    32K ctx|Proprietary
    90%
    cheaper

    Jamba 1.5 Mini

    AI21 Labs

    $0.60blended / 1M

    Input

    $0.20

    Output

    $0.40

    256.1K ctx|Open Source
    Save $0.54 per million tokens by choosing Gemma 3n E2B Instructed over Jamba 1.5 Mini.

    Gemma 3n E2B Instructed vs Jamba 1.5 Mini comparison

    Token pricing, specs, and benchmarks side by side

    Shared benchmarks

    Each bar is share of the current leader on that eval. Click a row to open the board.

    Score vs price

    GPQA. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price.

    Best score at each priceGemma 3n E2B InstructedJamba 1.5 Mini
    Metric
    Gemma 3n E2B Instructed
    Jamba 1.5 Mini
    Provider
    Provider
    Google
    AI21 Labs
    License
    Proprietary
    Open Source
    Release Date
    2025-06-26
    2024-08-22
    Pricing (per 1M tokens)
    Input Price-90%
    $0.02
    $0.20
    Output Price-90%
    $0.04
    $0.40
    Blended (1M + 1M)
    $0.06
    $0.60
    Model Details
    Context Window
    32K
    256.1K
    Max Output Tokens
    N/A
    256.1K
    Knowledge Cutoff
    2024-06-01
    2024-03-05
    Throughput
    N/A
    100 tok/s
    Benchmarks
    24.8%
    32.3%
    6.7%
    60.1%
    69.7%
    66.5%
    62.8%
    75.8%
    85.7%
    46.1%
    33.9%
    2.5%
    55.1%
    75.8%
    27.7%
    38.6%
    56.6%
    55.2%
    53.1%
    40.5%
    42.5%
    8.1%
    22.3%
    41.9%
    54.1%
    42.4%
    42.7%
    Benchmark Wins
    Gemma 3n E2B Instructed 1|3 Jamba 1.5 Mini

    Verdict

    Gemma 3n E2B Instructed vs Jamba 1.5 Mini: the bottom line

    Gemma 3n E2B Instructed offers significantly lower pricing, while Jamba 1.5 Mini leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.

    Gemma 3n E2B Instructed vs Jamba 1.5 Mini FAQ

    Which is cheaper, Gemma 3n E2B Instructed or Jamba 1.5 Mini?

    As of August 30, 2026, Gemma 3n E2B Instructed is 90% cheaper on blended LLM API pricing. Gemma 3n E2B Instructed costs $0.02 per million input tokens and $0.04 per million output tokens ($0.06 blended 1M-in + 1M-out). Jamba 1.5 Mini costs $0.20 / $0.40 per million tokens ($0.60 blended). Sources: https://ai.google.dev/gemini-api/docs/pricing and https://anotherwrapper.com/tools/llm-pricing. The cheapest LLM for your app still depends on how many output tokens you generate.

    How much does Gemma 3n E2B Instructed vs Jamba 1.5 Mini cost per million tokens?

    Gemma 3n E2B Instructed Gemini API pricing is $0.02 input and $0.04 output per million tokens via Google. Jamba 1.5 Mini AI21 Labs API pricing is $0.20 input and $0.40 output per million tokens via AI21 Labs. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

    Which is better for coding, Gemma 3n E2B Instructed or Jamba 1.5 Mini?

    Gemma 3n E2B Instructed has a published LiveCodeBench score of 13.2%. Jamba 1.5 Mini does not have that eval on this page yet.

    What is the context window for Gemma 3n E2B Instructed vs Jamba 1.5 Mini?

    Gemma 3n E2B Instructed supports a 32K token context window, while Jamba 1.5 Mini supports 256K tokens. Jamba 1.5 Mini 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, Gemma 3n E2B Instructed or Jamba 1.5 Mini?

    Jamba 1.5 Mini leads on 3 of 4 shared benchmarks versus Gemma 3n E2B Instructed's 1 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 Gemma 3n E2B Instructed or Jamba 1.5 Mini better for production use?

    Both Gemma 3n E2B Instructed and Jamba 1.5 Mini are production API models. For cost-sensitive production traffic, Gemma 3n E2B Instructed 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 Gemma 3n E2B Instructed and Jamba 1.5 Mini in my app?

    Yes. Call Gemma 3n E2B Instructed through Google and Jamba 1.5 Mini through AI21 Labs 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 Gemma 3n E2B Instructed vs Jamba 1.5 Mini pricing data?

    List rates are the latest published Gemini API pricing and AI21 Labs API pricing, quoted per million tokens. Official rate sheets: https://ai.google.dev/gemini-api/docs/pricing and https://anotherwrapper.com/tools/llm-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 Gemma 3n E2B Instructed and Jamba 1.5 Mini?

    Gemma 3n E2B Instructed supports up to an unspecified number of output tokens per request, while Jamba 1.5 Mini supports up to 256K 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, Gemma 3n E2B Instructed or Jamba 1.5 Mini?

    Jamba 1.5 Mini has a measured throughput of approximately 100 tokens/second. Throughput data for Gemma 3n E2B Instructed 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 Gemma 3n E2B Instructed vs Jamba 1.5 Mini comparison?

    Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Gemma 3n E2B Instructed or Jamba 1.5 Mini from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

    Gemma 3n E2B Instructed vs Jamba 1.5 Mini pricing

    This comparison covers API pricing, context window, throughput, and benchmark scores. Gemma 3n E2B Instructed costs $0.02/M input and $0.04/M output. Jamba 1.5 Mini costs $0.20/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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