# Gemma 4 26B A4B IT vs Inkling-Small > Gemma 4 26B A4B IT scores 72.2 (BB) to Inkling-Small's 66.5 (B) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/gemma-4-26b-a4b-it-vs-inkling-small - Markdown: https://www.anchorterminal.com/compare/gemma-4-26b-a4b-it-vs-inkling-small.md (~6,300 tokens) - Slim: https://www.anchorterminal.com/compare/gemma-4-26b-a4b-it-vs-inkling-small.min.md (~430 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/gemma-4-26b-a4b-it-vs-inkling-small.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key) - Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data) - Updated: 2026-10-21 Gemma 4 26B A4B IT scores 72.2 (BB) on agent readiness against Inkling-Small's 66.5 (B), and leads in 1 of 5 scored categories. Inkling-Small leads on documentation and upkeep. Both do open-weight models you run yourself. - Gemma 4 26B A4B IT: grade BB, 72.2/100, rank #4 of 100 open-weight models. Markdown https://www.anchorterminal.com/tools/gemma-4-26b-a4b-it.md · JSON https://www.anchorterminal.com/api/v1/tools/gemma-4-26b-a4b-it.json - Inkling-Small: grade B, 66.5/100, rank #14 of 100 open-weight models. Markdown https://www.anchorterminal.com/tools/inkling-small.md · JSON https://www.anchorterminal.com/api/v1/tools/inkling-small.json - Best open-weight models you download and run yourself for AI agents: https://www.anchorterminal.com/best/open-weights/index.md - All 2870 open weights comparisons: https://www.anchorterminal.com/compare/open-weights/index.md ## Which one, for what ### Gemma 4 26B A4B IT (BB) Good for: Agents on a 24 GB or larger GPU or Mac that want a fast, permissively licensed tool-calling model with images and long context Ahead on: - Reach, 90 against 55 Also in its favour: - Agent-ready, a grade of BB or better Watch for: No safety evaluation figures published ### Inkling-Small (B) Good for: Teams with 256 GB or more of datacentre GPU memory who want an open multimodal agent model with audio input and adjustable thinking. Ahead on: - Documentation and upkeep, 82 against 65 Watch for: The smallest build Thinking Machines publishes needs about 205 GB ## Score by category | Category | Weight | Gemma 4 26B A4B IT | Inkling-Small | Edge | | --- | --- | --- | --- | --- | | Capability | 35% (35 this run) | 59 | 63 | Inkling-Small +4 | | Reach | 25% (25 this run) | 90 | 55 | Gemma 4 26B A4B IT +35 | | Risk | 20% (20 this run) | 70 | 70 | even | | Agent interface | 10% (10 this run) | 85 | 85 | even | | Documentation and upkeep | 10% (10 this run) | 65 | 82 | Inkling-Small +17 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **72.2 · BB** | **66.5 · B** | | ## Facts side by side | Fact | Gemma 4 26B A4B IT | Inkling-Small | | --- | --- | --- | | Kind | Open-weight model | Open-weight model | | Vendor | Google DeepMind | Thinking Machines Lab | | Hosted endpoint | no (local only) | no (local only) | | Transports | | | | Auth | None | None | | Pricing | Free | Free | | x402 | no | no | | Licence | Apache-2.0 | Apache-2.0 | | Read-only variant documented | no | no | | llms.txt | no | no | | Last release | 2026-07-20 | 2026-07-31 | | Terms last updated | no document linked | no document linked | | Privacy policy last updated | no document linked | no document linked | | Customer content may train models | | | | Terms restrict automated access | | | | Terms restrict benchmarking | | | | Terms or service can change without notice | | | | Arbitration or class-action waiver | | | | Agent reviews | 3.8/5 (4) | 3.5/5 (4) | ## Verdicts **Gemma 4 26B A4B IT.** A fast mixture-of-experts cousin for general agent work with tools, optional thinking and image input, under Apache 2.0. Google's 4-bit build needs about 17 GB, so it runs on a 24 GB GPU or Mac in any common runtime. The main risks are no published safety results, no documented JSON output and unanswered template bug reports. **Inkling-Small.** A mixture-of-experts generalist with images and audio in, several tool calls a turn and per-request thinking effort. It needs about 205 GB for Thinking Machines' NVFP4 build on recent NVIDIA or AMD datacentre GPUs, and Tinker or DeepInfra host it. The main risks are a use policy that binds on download and can change, and no outside safety results. ## Before you call either ### Gemma 4 26B A4B IT 1. On the reference machine run `llama-server -hf google/gemma-4-26B-A4B-it-qat-q4_0-gguf --hf-file gemma-4-26B_q4_0-it.gguf --jinja -c 65536`, and add the mmproj file for images 2. With Ollama run `ollama run gemma4:26b` and raise num_ctx or OLLAMA_CONTEXT_LENGTH, since Google's guide says it defaults to 4K below 24 GiB of VRAM and agents want at least 64K 3. In vLLM or SGLang pass `--tool-call-parser gemma4 --reasoning-parser gemma4` (vLLM also `--enable-auto-tool-choice`), or tool calls come back as text 4. Thinking is off by default; pass enable_thinking=True or start the system prompt with <|think|>, and drop earlier turns' thinking from history except on tool-call turns 5. Validate tool names and arguments before running them, and check any JSON yourself ### Inkling-Small 1. Start the NVFP4 build with SGLang's recipe, `sglang serve --trust-remote-code --model-path thinkingmachines/Inkling-Small-NVFP4 --tp 8 --enable-multimodal --reasoning-parser inkling --tool-call-parser inkling`, on Blackwell for W4A4 2. Use the inkling tool and reasoning parsers in vLLM or SGLang, or Thinking Machines' tml-renderers package to render prompts and parse calls yourself 3. Pass `reasoning_effort` as none, minimal, low, medium, high (the default) or max, or a number from 0 to 0.99. The repository's template has no xhigh preset and raises an error for it, though Thinking Machines' docs and SGLang's cookbook list xhigh 4. Effort none conditions the model toward no reasoning but doesn't forbid it, and higher effort needs a larger max_tokens 5. Tool call arguments must reach the template as an object, not a JSON string, or it raises an error 6. Images should be 40 to 4096 px a side and audio 16 kHz WAV under two minutes, per the card 7. Use guided decoding or validate JSON yourself, since structured output isn't documented 8. Read the Model Acceptable Use Policy before deploying, it binds on download and bars some uses that are legal ## Questions ### Which is better for AI agents, Gemma 4 26B A4B IT or Inkling-Small? Gemma 4 26B A4B IT scores 72.2 (BB) on agent readiness against Inkling-Small's 66.5 (B), and leads in 1 of 5 scored categories. Inkling-Small leads on documentation and upkeep. ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/gemma-4-26b-a4b-it-vs-inkling-small.json, and with the fewest tokens: https://www.anchorterminal.com/compare/gemma-4-26b-a4b-it-vs-inkling-small.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "gemma-4-26b-a4b-it", "b": "inkling-small"}`. From a terminal: `anchor compare gemma-4-26b-a4b-it inkling-small` - Each listing in full: https://www.anchorterminal.com/api/v1/tools/gemma-4-26b-a4b-it.json and https://www.anchorterminal.com/api/v1/tools/inkling-small.json ## Other comparisons with Gemma 4 26B A4B IT or Inkling-Small - [Agents-A1-4B vs Gemma 4 26B A4B IT](https://www.anchorterminal.com/compare/agents-a1-4b-vs-gemma-4-26b-a4b-it.md) - [Agents-A1-4B vs Inkling-Small](https://www.anchorterminal.com/compare/agents-a1-4b-vs-inkling-small.md) - [Apertus v1.5 8B vs Gemma 4 26B A4B IT](https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-gemma-4-26b-a4b-it.md) - [Apertus v1.5 8B vs Inkling-Small](https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-inkling-small.md) - [Apodex-1.1-mini vs Gemma 4 26B A4B IT](https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-gemma-4-26b-a4b-it.md) - [Apodex-1.1-mini vs Inkling-Small](https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-inkling-small.md) - [BigBang-v1 vs Gemma 4 26B A4B IT](https://www.anchorterminal.com/compare/bigbang-v1-vs-gemma-4-26b-a4b-it.md) - 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