Qwen3 30B A3B vs Gemma 3 27B IT vs Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite comes out ahead, 71 to 60 and 58 on our weighted score, though Gemma 3 27B IT is 37% cheaper per token.
Alibaba (Qwen)
Qwen3 30B A3B
58/100- ECI136.2
- Price$0.114 / $0.50
- Context131K
Google
Gemma 3 27B IT
60/100- ECI130.0
- Price$0.08 / $0.20
- Context131K
- Our pick
Google
Gemini 2.5 Flash-Lite
71/100- ECI133.9
- Price$0.10 / $0.40
- Context1.05M
Gemini 2.5 Flash-Lite is our pick
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 71/100 against Gemma 3 27B IT (60) and Qwen3 30B A3B (58). It leads on inputs & features and context window. Qwen3 30B A3B wins on capability. Gemma 3 27B IT wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityQwen3 30B A3BCapabilities Index (ECI): Qwen3 30B A3B 136.2 · Gemini 2.5 Flash-Lite 133.9 · Gemma 3 27B IT 130.0
- Lowest priceGemma 3 27B ITGemma 3 27B IT $0.11 · Gemini 2.5 Flash-Lite $0.175 · Qwen3 30B A3B $0.21 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite 1,048,576 · Qwen3 30B A3B 131,072 · Gemma 3 27B IT 131,072 tokens
- Widest inputsGemini 2.5 Flash-LiteQwen3 30B A3B: Text · Gemma 3 27B IT: Text, Images · Gemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video
- Self-hostingQwen3 30B A3B and Gemma 3 27B ITPublishes downloadable weights
| Measure | Weight | Qwen3 30B A3B | Gemma 3 27B IT | Gemini 2.5 Flash-Lite |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 61 | 53 | 58 |
| Price | 25% | 82 | 95 | 86 |
| Inputs & features | 15% | 35 | 50 | 100 |
| Context window | 10% | 24 | 24 | 61 |
| Overall | 100% | 58/100 | 60/100 | 71/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 136.2 (best) | 130.0 | 133.9 |
| ECI rank | #112 of 148 (best) | #125 of 148 | #118 of 148 |
| GPQA DiamondGraduate-level science questions | 61.7% (best) | 47.7% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 62.8% (best) | 22.5% | — |
| Price per million tokens | |||
| Input | $0.114 | $0.08 (best) | $0.10 |
| Output | $0.50 | $0.20 (best) | $0.40 |
| Cached input | — | — | $0.01 |
| Blended (3:1) | $0.21 | $0.11 (best) | $0.175 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 8 providers | Median of 9 providers | Official Google API |
| Limits | |||
| Context window | 131,072 tokens | 131,072 tokens | 1,048,576 tokens (best) |
| Max output | 16,384 tokens | 131,072 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | Yes |
| Video | No | No | Yes |
| Reasoning | Yes | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | — | — | gemini-2.5-flash-lite |
| API providers | 8 | 10 | 20 (best) |
| Released | Apr 28, 2025 | Mar 12, 2025 | Jun 17, 2025 |
| Knowledge cutoff | — | Aug 2024 | 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.
Qwen3 30B A3B$2.14
Gemma 3 27B IT$1.20
Gemini 2.5 Flash-Lite$1.80
Which should you choose?
Which is better: Qwen3 30B A3B, Gemma 3 27B IT or Gemini 2.5 Flash-Lite?
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 71/100 against Gemma 3 27B IT (60) and Qwen3 30B A3B (58). It leads on inputs & features and context window. Qwen3 30B A3B wins on capability. Gemma 3 27B IT wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Qwen3 30B A3B, Gemma 3 27B IT or Gemini 2.5 Flash-Lite?
Gemma 3 27B IT is cheaper at $0.08 input / $0.20 output per million tokens (median across 9 API providers). Gemini 2.5 Flash-Lite costs $0.10 input / $0.40 output per million tokens (official Google API price); Qwen3 30B A3B costs $0.114 input / $0.50 output per million tokens (median across 8 API providers). At a typical mix of three input tokens to one output token, that is $0.11 per million tokens for Gemma 3 27B IT versus $0.175 for Gemini 2.5 Flash-Lite (1.6× as much) and $0.21 for Qwen3 30B A3B (1.9× as much).
Which scores higher on benchmarks?
Qwen3 30B A3B scores higher on the Capabilities Index (ECI): Qwen3 30B A3B 136.2 (#112 of 148), Gemini 2.5 Flash-Lite 133.9 (#118 of 148) and Gemma 3 27B IT 130.0 (#125 of 148). The confidence ranges of the top two overlap (130.3–138.7 vs 129.8–136.3), so treat the gap as small.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3 30B A3B, Gemma 3 27B IT and Gemini 2.5 Flash-Lite yet, so there is no like-for-like coding score. On overall capability, Qwen3 30B A3B leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.
Which has the bigger context window?
Gemini 2.5 Flash-Lite has the largest context window at 1,048,576 tokens, against 131,072 for Qwen3 30B A3B and 131,072 for Gemma 3 27B IT. Maximum output per response: Qwen3 30B A3B up to 16,384, Gemma 3 27B IT up to 131,072, Gemini 2.5 Flash-Lite up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Qwen3 30B A3B accepts text; Gemma 3 27B IT accepts text and images; Gemini 2.5 Flash-Lite accepts text, images, PDFs, audio and video. Gemini 2.5 Flash-Lite handles the widest range of inputs.
Are any of these open source?
Qwen3 30B A3B and Gemma 3 27B IT publishes its weights and can be self-hosted; Gemini 2.5 Flash-Lite is proprietary.
Which is newer?
Gemini 2.5 Flash-Lite is the newest, released Jun 17, 2025. Qwen3 30B A3B came out Apr 28, 2025; Gemma 3 27B IT came out Mar 12, 2025. Knowledge cutoff: Gemma 3 27B IT Aug 2024, Gemini 2.5 Flash-Lite 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.