As of August 20, 2026, Gemma 4 26B-A4B is 62% cheaper per million tokens than MAI-Code-1.1-Flash. Gemma 4 26B-A4B is $0.13 / $0.40 per million input/output tokens versus MAI-Code-1.1-Flash at $0.20 / $1.20. Sources: https://ai.google.dev/gemini-api/docs/pricing and https://ai.azure.com
Sources: Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing); Microsoft pricing (https://ai.azure.com)
Gemma 4 26B-A4B
Input
$0.13
Output
$0.40
MAI-Code-1.1-Flash
Microsoft
Input
$0.20
Output
$1.20
Token pricing, specs, and benchmarks side by side
Gemma 4 26B-A4BMAI-Code-1.1-FlashVerdict
Both models are closely matched on benchmarks. Gemma 4 26B-A4B has the pricing advantage, making it the better value unless MAI-Code-1.1-Flash's specific capabilities are critical to your workflow.
As of August 20, 2026, Gemma 4 26B-A4B is 62% cheaper on blended LLM API pricing. Gemma 4 26B-A4B costs $0.13 per million input tokens and $0.40 per million output tokens ($0.53 blended 1M-in + 1M-out). MAI-Code-1.1-Flash costs $0.20 / $1.20 per million tokens ($1.40 blended). Sources: https://ai.google.dev/gemini-api/docs/pricing and https://ai.azure.com. The cheapest LLM for your app still depends on how many output tokens you generate.
Gemma 4 26B-A4B Gemini API pricing is $0.13 input and $0.40 output per million tokens via Google. MAI-Code-1.1-Flash Microsoft API pricing is $0.20 input and $1.20 output per million tokens via Microsoft. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
MAI-Code-1.1-Flash has a published SWE-bench Verified score of 72.6%. Gemma 4 26B-A4B does not have that eval on this page yet.
Gemma 4 26B-A4B supports a 262K token context window, while MAI-Code-1.1-Flash supports 256K tokens. Gemma 4 26B-A4B 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.
Shared benchmark scores for Gemma 4 26B-A4B and MAI-Code-1.1-Flash are still limited. Check the comparison table for the evals each model has published. 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.
Both Gemma 4 26B-A4B and MAI-Code-1.1-Flash are production API models. For cost-sensitive production traffic, Gemma 4 26B-A4B 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.
Yes. Call Gemma 4 26B-A4B through Google and MAI-Code-1.1-Flash through Microsoft 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.
List rates are the latest published Gemini API pricing and Microsoft API pricing, quoted per million tokens. Official rate sheets: https://ai.google.dev/gemini-api/docs/pricing and https://ai.azure.com. 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.
Gemma 4 26B-A4B supports up to 131K output tokens per request, while MAI-Code-1.1-Flash supports up to an unspecified number of output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Neither Gemma 4 26B-A4B nor MAI-Code-1.1-Flash has published throughput data on this page yet. 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.
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Gemma 4 26B-A4B or MAI-Code-1.1-Flash from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
This comparison covers API pricing, context window, throughput, and benchmark scores. Gemma 4 26B-A4B costs $0.13/M input and $0.40/M output. MAI-Code-1.1-Flash costs $0.20/M input and $1.20/M output.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
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