LLM Comparison
Gemma 4 26B A4B vs Qwen3.5-9B
Side-by-side specs, pricing & capabilities
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2/6 models| Organization | ||
| OpenTools Score | ||
| Family | Gemma | Qwen |
| Status | Current | Current |
| Release Date | Apr 2026 | Mar 2026 |
| Context Window | 262K tokens | 262K tokens |
| Input Price | $0.08/M tokens | $0.10/M tokens |
| Output Price | $0.35/M tokens | $0.15/M tokens |
| Pricing Notes | Cache read: $0.0100/M tokens | — |
| Capabilities | textvisionvideocode | textvisionvideocode |
| API Identifier | google/gemma-4-26b-a4b-it | qwen/qwen3.5-9b |
| Benchmarks | ||
| GPQA Diamond | 79.2%artificial-analysis | 80.6%artificial-analysis |
| GPQA Diamond | — | 81.7%alibaba |
| MMLU-Pro | — | 82.5%alibaba |
| Terminal-Bench 2.1 | 39%artificial-analysis | 29.2%artificial-analysis |
| View Gemma 4 26B A4B | View Qwen3.5-9B | |
Cost Calculator
Enter your expected monthly token usage to compare costs.
| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Qwen3.5-9BCheapest | $0.10 | $0.08 | $0.18 | — |
| Gemma 4 26B A4B | $0.08 | $0.18 | $0.26 | +46% |
Compare hosting configurations
Compare two exact setups, including different configurations of the same model. Hardware fit, measured speed and costs are separate decisions.
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Use hours for the same scenario period. Cloud billing includes idle time; active hours alone do not set the bill. Local electricity uses whole-system attributable power, powered hours and your tariff. Missing inputs remain unknown.
Measured speed needs the same pinned workload protocol, tokenizer, context, batching and cache state.
| Configuration | Run complete native Gemma 4 26B-A4B text, image and video checks on a CPU workstation | Run Qwen3.5-9B text chat on an Intel i5-12400 desktop |
|---|---|---|
| Model | Gemma 4 26B A4B | Qwen3.5-9B |
| Hardware | Intel Xeon w5-2465X / ASUS W790E-SAGE SE,256GiB RAM,400GiB free disk | Intel Core i5-12400 desktop, 4 inference threads, 32 GiB RAM |
| Runtime | Native Gemma 4 full multimodal CPU Transformers 5.11.0; Torch 2.11.0 CPU; torchvision 0.26.0 CPU; Python 3.12 · CPU | llama.cpp v0.7.0 (620d2225cc436ab0b001e3200e590e3b286ef9ab) · CPU |
| Artifact | Gemma 4 26B-A4B instruction-tuned complete native multimodal checkpoint · All complete native floating parameters loaded as CPU FP32; publisher stored dtype BF16 · Unquantized publisher BF16 checkpoint; reader explicitly loads all floating model parameters as CPU FP32 | Qwen3.5-9B Q4_K_M, Unsloth derivative · GGUF Q4_K_M mixed quantization · Q4_K_M post-training GGUF derivative published by Unsloth |
| Context / concurrency | 4,096 tokens / 1 | 4,096 tokens / 1 |
| Required memory | Unknown (unknown) | Unknown (unknown) |
| Evidence | Documented setup | Documented setup |
| Hardware fit | Hardware fit unknown Full CPU FP32 load, attention/cache, image/video tensors, buffers and process peak are unmeasured. Enter available memory per device or unified memory pool. Host RAM: 256 GiB is a selected host allocation, not a measured process minimum or fit result. Free disk space: 400 GiB free/root allocation is a reader planning choice, not a measured minimum. | Hardware fit unknown No exact process peak for this Qwen3.5 GGUF, recurrent-state and text workload. Enter available memory per device or unified memory pool. Host RAM: 32 GiB is allocated capacity, not measured minimum host RAM. Free disk space: 40 GiB free/root disk is an author allocation, not measured disk minimum. |
| One-time cost | Unknown hardware: Existing desktop purchase price and incremental hardware cost depend on the reader; unknown. setup: Initial provisioning/build time and labor cost are unknown. | Unknown hardware: Existing desktop purchase price and incremental hardware cost depend on the reader; unknown. setup: Initial provisioning/build time and labor cost are unknown. |
| Recurring scenario cost | Unknown electricity: Actual wall power, electricity rate and powered hours are unknown; no TDP-to-wall-power conversion. storage: Incremental cost of local disk capacity is unknown. The 400 GiB free-disk walkthrough allocation is an author choice, not a measured requirement. egress: Data transfer price, allowances and traffic volume are unknown. administration: Maintenance labor rate and hours are unknown. One-time setup and recurring costs are separate. Unknown components are not treated as free. No monthly token output is inferred from peak throughput. | Unknown electricity: Actual wall power, electricity rate and powered hours are unknown; no TDP-to-wall-power conversion. storage: Incremental cost of local disk capacity is unknown. The 40 GiB free-disk walkthrough allocation is an author choice, not a measured requirement. egress: Data transfer price, allowances and traffic volume are unknown. administration: Maintenance labor rate and hours are unknown. One-time setup and recurring costs are separate. Unknown components are not treated as free. No monthly token output is inferred from peak throughput. |
| Published measurements (unranked) | No compatible measurement available | No compatible measurement available |
Different currencies and incomplete costs are not ranked. Model quality benchmarks remain on the model pages; they do not establish quality or speed for every deployment.
Gemma 4 26B A4B
Gemma 4 26B A4B is a multimodal llm from Google. Supports up to 262,144 token context window. Available from $0.08/M input tokens.
Alibaba
Qwen3.5-9B
Qwen3.5-9B is a multimodal llm from Alibaba. Supports up to 262,144 token context window. Achieves 87.5% on MMLU. Available from $0.10/M input tokens.
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