Gemini 2.0 Flash vs o3-pro vs Claude Sonnet 3.5 v2
Too close to call on our weighted score (o3-pro 68, Gemini 2.0 Flash 65, Claude Sonnet 3.5 v2 54). The right pick depends on what you value most.
GoogleGemini 2.0 Flash
65/100- ECI134.7
- Price—
- Context1.05M
OpenAIo3-pro
68/100- ECI147.4
- Price$20.00 / $80.00
- Context200K
AnthropicClaude Sonnet 3.5 v2
54/100- ECI133.5
- Price$3.00 / $15.00
- Context200K
Too close to call
It is close. Our weighted score puts them within 3 points (o3-pro 68/100, Gemini 2.0 Flash 65/100, Claude Sonnet 3.5 v2 54/100), so choose by what matters most for your work: o3-pro for raw capability, Claude Sonnet 3.5 v2 on price and Gemini 2.0 Flash for long inputs. The score weighs capability 67%, inputs & features 20%, context window 13%.
- Capabilityo3-proCapabilities Index (ECI): o3-pro 147.4 · Gemini 2.0 Flash 134.7 · Claude Sonnet 3.5 v2 133.5
- Lowest priceClaude Sonnet 3.5 v2Claude Sonnet 3.5 v2 $6.00 · o3-pro $35.00 per 1M tokens (3:1 blend) · Gemini 2.0 Flash unpriced
- Longest contextGemini 2.0 FlashGemini 2.0 Flash 1,048,576 · o3-pro 200,000 · Claude Sonnet 3.5 v2 200,000 tokens
- Widest inputsGemini 2.0 FlashGemini 2.0 Flash: Text, Images, PDFs, Audio, Video · o3-pro: Text, Images · Claude Sonnet 3.5 v2: Text, Images, PDFs
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Gemini 2.0 Flash | o3-pro | Claude Sonnet 3.5 v2 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 67% | 59 | 75 | 57 |
| Inputs & features | 20% | 90 | 70 | 60 |
| Context window | 13% | 61 | 32 | 32 |
| Overall | 100% | 65/100 | 68/100 | 54/100 |
Left out because at least one model lacks the data: price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Gemini 2.0 FlashGoogle | o3-proOpenAI | Claude Sonnet 3.5 v2Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 134.7 | 147.4 (best) | 133.5 |
| ECI rank | #116 of 148 | #60 of 148 (best) | #119 of 148 |
| GPQA DiamondGraduate-level science questions | — | — | 55.3% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | — | 8.5% |
| Price per million tokens | |||
| Input | — | $20.00 | $3.00 (best) |
| Output | — | $80.00 | $15.00 (best) |
| Cached input | — | — | — |
| Blended (3:1) | — | $35.00 | $6.00 (best) |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Official OpenAI API | Median of 1 providers |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 200,000 tokens | 200,000 tokens |
| Max output | 8,192 tokens | 100,000 tokens (best) | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | No | Yes |
| Audio | Yes | No | No |
| Video | Yes | No | No |
| Reasoning | No | Yeslow · medium · high | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | — | o3-pro | — |
| API providers | — | 6 (best) | 1 |
| Released | Dec 11, 2024 | Jun 10, 2025 | Oct 22, 2024 |
| Knowledge cutoff | Jun 2024 | May 2024 | Apr 30, 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Gemini 2.0 Flash—
- o3-pro$360.00
- Claude Sonnet 3.5 v2$60.00
Which should you choose?
Which is better: Gemini 2.0 Flash, o3-pro or Claude Sonnet 3.5 v2?
It is close. Our weighted score puts them within 3 points (o3-pro 68/100, Gemini 2.0 Flash 65/100, Claude Sonnet 3.5 v2 54/100), so choose by what matters most for your work: o3-pro for raw capability, Claude Sonnet 3.5 v2 on price and Gemini 2.0 Flash for long inputs. The score weighs capability 67%, inputs & features 20%, context window 13%.
Which is cheaper, Gemini 2.0 Flash, o3-pro or Claude Sonnet 3.5 v2?
Claude Sonnet 3.5 v2 is cheaper at $3.00 input / $15.00 output per million tokens (median across 1 API provider). o3-pro costs $20.00 input / $80.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $6.00 per million tokens for Claude Sonnet 3.5 v2 versus $35.00 for o3-pro (5.8× as much). Gemini 2.0 Flash has no published per-token price.
Which scores higher on benchmarks?
o3-pro scores higher on the Capabilities Index (ECI): o3-pro 147.4 (#60 of 148), Gemini 2.0 Flash 134.7 (#116 of 148) and Claude Sonnet 3.5 v2 133.5 (#119 of 148). Their confidence ranges do not overlap (145.8–149.7 vs 124.3–136.7), so the gap is a real one.
Which is better for coding?
There are no published SWE-bench Verified results for Gemini 2.0 Flash, o3-pro and Claude Sonnet 3.5 v2 yet, so there is no like-for-like coding score. On overall capability, o3-pro 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 2.0 Flash has the largest context window at 1,048,576 tokens, against 200,000 for o3-pro and 200,000 for Claude Sonnet 3.5 v2. Maximum output per response: Gemini 2.0 Flash up to 8,192, o3-pro up to 100,000, Claude Sonnet 3.5 v2 up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Gemini 2.0 Flash accepts text, images, PDFs, audio and video; o3-pro accepts text and images; Claude Sonnet 3.5 v2 accepts text, images and PDFs. Gemini 2.0 Flash handles the widest range of inputs.
Are any of these open source?
No. Gemini 2.0 Flash, o3-pro and Claude Sonnet 3.5 v2 are proprietary and only available through APIs and apps.
Which is newer?
o3-pro is the newest, released Jun 10, 2025. Gemini 2.0 Flash came out Dec 11, 2024; Claude Sonnet 3.5 v2 came out Oct 22, 2024. Knowledge cutoff: Gemini 2.0 Flash Jun 2024, o3-pro May 2024, Claude Sonnet 3.5 v2 Apr 30, 2024.
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.
