Gemma 4 31B IT vs GPT-5.6 Cyber
Gemma 4 31B IT comes out ahead, 70 to 30 on our weighted score, and it is the cheaper option too.
- Our pick
Google
Gemma 4 31B IT
70/100- ECI142.8
- Price$0.14 / $0.40
- Context262K
OpenAI
GPT-5.6 Cyber
30/100- ECI—
- Price$12.50 / $75.00
- Context400K
Add a model
Make it a three-way comparison.
Gemma 4 31B IT is our pick
Gemma 4 31B IT is the better all-round choice, scoring 70/100 against GPT-5.6 Cyber (30). It leads on price. GPT-5.6 Cyber wins on context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceGemma 4 31B ITGemma 4 31B IT $0.205 · GPT-5.6 Cyber $28.13 per 1M tokens (3:1 blend)
- Longest contextGPT-5.6 CyberGPT-5.6 Cyber 400,000 · Gemma 4 31B IT 262,144 tokens
- Widest inputsSame inputsGemma 4 31B IT: Text, Images · GPT-5.6 Cyber: Text, Images
- Self-hostingGemma 4 31B ITPublishes downloadable weights
| Measure | Weight | Gemma 4 31B IT | GPT-5.6 Cyber |
|---|---|---|---|
| Price | 50% | 83 | 0 |
| Inputs & features | 30% | 70 | 70 |
| Context window | 20% | 37 | 44 |
| Overall | 100% | 70/100 | 30/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 142.8 | — |
| ECI rank | #86 of 148 | — |
| GPQA DiamondGraduate-level science questions | 75.8% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 73.3% | — |
| SimpleQA VerifiedShort factual questions | 10.4% | — |
| Price per million tokens | ||
| Input | $0.14 (best) | $12.50 |
| Output | $0.40 (best) | $75.00 |
| Cached input | — | $1.25 |
| Blended (3:1) | $0.205 (best) | $28.13 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 30 providers | Official OpenAI API |
| Limits | ||
| Context window | 262,144 tokens | 400,000 tokens (best) |
| Max output | 32,768 tokens | 128,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yeslow · medium · high · xhigh · max |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | gemma-4-31b-it | gpt-daybreak-red-latest |
| API providers | 38 (best) | 1 |
| Released | Apr 2, 2026 | Aug 7, 2026 |
| Knowledge cutoff | — | Feb 16, 2026 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Gemma 4 31B IT$2.20
GPT-5.6 Cyber$275.00
Which should you choose?
Which is better: Gemma 4 31B IT or GPT-5.6 Cyber?
Gemma 4 31B IT is the better all-round choice, scoring 70/100 against GPT-5.6 Cyber (30). It leads on price. GPT-5.6 Cyber wins on context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Gemma 4 31B IT or GPT-5.6 Cyber?
Gemma 4 31B IT is cheaper at $0.14 input / $0.40 output per million tokens (median across 30 API providers). GPT-5.6 Cyber costs $12.50 input / $75.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $0.205 per million tokens for Gemma 4 31B IT versus $28.13 for GPT-5.6 Cyber (137× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Gemma 4 31B IT has an ECI of 142.8 and GPT-5.6 Cyber has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Gemma 4 31B IT and GPT-5.6 Cyber yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
GPT-5.6 Cyber has the largest context window at 400,000 tokens, against 262,144 for Gemma 4 31B IT. Maximum output per response: Gemma 4 31B IT up to 32,768, GPT-5.6 Cyber up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Gemma 4 31B IT accepts text and images; GPT-5.6 Cyber accepts text and images. They handle the same number of input types.
Are any of these open source?
Gemma 4 31B IT publishes its weights and can be self-hosted; GPT-5.6 Cyber is proprietary.
Which is newer?
GPT-5.6 Cyber is the newest, released Aug 7, 2026. Gemma 4 31B IT came out Apr 2, 2026. Knowledge cutoff: GPT-5.6 Cyber Feb 16, 2026.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.