Gemma 4 E4B IT vs Gemma 4 31B IT vs Step 3.5 Flash 2603
Gemma 4 E4B IT comes out ahead, 76 to 70 and 62 on our weighted score, and it is the cheaper option too.
- Our pick
GoogleGemma 4 E4B IT
76/100- ECI—
- Price$0.11 / $0.15
- Context131K
- Google
Gemma 4 31B IT
70/100- ECI142.8
- Price$0.14 / $0.40
- Context262K
StepFunStep 3.5 Flash 2603
62/100- ECI—
- Price$0.10 / $0.30
- Context256K
Gemma 4 E4B IT is our pick
Gemma 4 E4B IT is the better all-round choice, scoring 76/100 against Gemma 4 31B IT (70) and Step 3.5 Flash 2603 (62). It leads on price and inputs & features. 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 E4B ITGemma 4 E4B IT $0.12 · Step 3.5 Flash 2603 $0.15 · Gemma 4 31B IT $0.205 per 1M tokens (3:1 blend)
- Longest contextGemma 4 31B ITGemma 4 31B IT 262,144 · Step 3.5 Flash 2603 256,000 · Gemma 4 E4B IT 131,072 tokens
- Widest inputsGemma 4 E4B ITGemma 4 E4B IT: Text, Images, Audio · Gemma 4 31B IT: Text, Images · Step 3.5 Flash 2603: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Gemma 4 E4B IT | Gemma 4 31B IT | Step 3.5 Flash 2603 |
|---|---|---|---|---|
| Price | 50% | 94 | 83 | 89 |
| Inputs & features | 30% | 80 | 70 | 35 |
| Context window | 20% | 24 | 37 | 36 |
| Overall | 100% | 76/100 | 70/100 | 62/100 |
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 | Gemma 4 E4B ITGoogle | Gemma 4 31B ITGoogle | Step 3.5 Flash 2603StepFun |
|---|---|---|---|
| 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 | $0.11 | $0.14 | $0.10 (best) |
| Output | $0.15 (best) | $0.40 | $0.30 |
| Cached input | — | — | $0.02 |
| Blended (3:1) | $0.12 (best) | $0.205 | $0.15 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Median of 30 providers | Official StepFun (Global) API |
| Limits | |||
| Context window | 131,072 tokens | 262,144 tokens (best) | 256,000 tokens |
| Max output | 8,192 tokens | 32,768 tokens | 256,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | Yes | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | Yeslow · high |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | — | gemma-4-31b-it | step-3.5-flash-2603 |
| API providers | 2 | 38 (best) | 3 |
| Released | Apr 2, 2026 | Apr 2, 2026 | Apr 2, 2026 |
| Knowledge cutoff | — | — | Jan 2025 |
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 E4B IT$1.40
- Gemma 4 31B IT$2.20
- Step 3.5 Flash 2603$1.60
Which should you choose?
Which is better: Gemma 4 E4B IT, Gemma 4 31B IT or Step 3.5 Flash 2603?
Gemma 4 E4B IT is the better all-round choice, scoring 76/100 against Gemma 4 31B IT (70) and Step 3.5 Flash 2603 (62). It leads on price and inputs & features. 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 E4B IT, Gemma 4 31B IT or Step 3.5 Flash 2603?
Gemma 4 E4B IT is cheaper at $0.11 input / $0.15 output per million tokens (median across 2 API providers). Step 3.5 Flash 2603 costs $0.10 input / $0.30 output per million tokens (official StepFun (Global) API price); Gemma 4 31B IT costs $0.14 input / $0.40 output per million tokens (median across 30 API providers). At a typical mix of three input tokens to one output token, that is $0.12 per million tokens for Gemma 4 E4B IT versus $0.15 for Step 3.5 Flash 2603 (1.3× as much) and $0.205 for Gemma 4 31B IT (1.7× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Gemma 4 E4B IT has not been scored yet, Gemma 4 31B IT has an ECI of 142.8 and Step 3.5 Flash 2603 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Gemma 4 E4B IT, Gemma 4 31B IT and Step 3.5 Flash 2603 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Gemma 4 31B IT has the largest context window at 262,144 tokens, against 256,000 for Step 3.5 Flash 2603 and 131,072 for Gemma 4 E4B IT. Maximum output per response: Gemma 4 E4B IT up to 8,192, Gemma 4 31B IT up to 32,768, Step 3.5 Flash 2603 up to 256,000 tokens.
Which can read images, PDFs, audio or video?
Gemma 4 E4B IT accepts text, images and audio; Gemma 4 31B IT accepts text and images; Step 3.5 Flash 2603 accepts text. Gemma 4 E4B IT handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights, so you can self-host them.
Which is newer?
Gemma 4 E4B IT is the newest, released Apr 2, 2026. Gemma 4 31B IT came out Apr 2, 2026; Step 3.5 Flash 2603 came out Apr 2, 2026. Knowledge cutoff: Step 3.5 Flash 2603 Jan 2025.
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.
