Claude Sonnet 3.5 v2 vs Claude Haiku 3.5 vs GPT-4o
Too close to call on our weighted score (Claude Haiku 3.5 46, Claude Sonnet 3.5 v2 44, GPT-4o 43). The right pick depends on what you value most.
Anthropic
Claude Sonnet 3.5 v2
44/100- ECI133.4
- Price$2.80 / $14.00
- Context200K
Anthropic
Claude Haiku 3.5
46/100- ECI127.0
- Price$0.80 / $4.00
- Context200K
OpenAI
GPT-4o
43/100- ECI129.0
- Price$2.50 / $10.00
- Context128K
Too close to call
It is close. Our weighted score puts them within 2 points (Claude Haiku 3.5 46/100, Claude Sonnet 3.5 v2 44/100, GPT-4o 43/100), so choose by what matters most for your work: Claude Sonnet 3.5 v2 for raw capability and Claude Haiku 3.5 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityClaude Sonnet 3.5 v2Capabilities Index (ECI): Claude Sonnet 3.5 v2 133.4 · GPT-4o 129.0 · Claude Haiku 3.5 127.0
- Lowest priceClaude Haiku 3.5Claude Haiku 3.5 $1.60 · GPT-4o $4.38 · Claude Sonnet 3.5 v2 $5.60 per 1M tokens (3:1 blend)
- Longest contextClaude Sonnet 3.5 v2 and Claude Haiku 3.5Claude Sonnet 3.5 v2 200,000 · Claude Haiku 3.5 200,000 · GPT-4o 128,000 tokens
- Widest inputsSame inputsClaude Sonnet 3.5 v2: Text, Images, PDFs · Claude Haiku 3.5: Text, Images, PDFs · GPT-4o: Text, Images, PDFs
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Claude Sonnet 3.5 v2 | Claude Haiku 3.5 | GPT-4o |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 56 | 48 | 51 |
| Price | 25% | 14 | 38 | 19 |
| Inputs & features | 15% | 60 | 60 | 70 |
| Context window | 10% | 32 | 32 | 24 |
| Overall | 100% | 44/100 | 46/100 | 43/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 133.4 (best) | 127.0 | 129.0 |
| ECI rank | #133 of 165 (best) | #147 of 165 | #141 of 165 |
| GPQA DiamondGraduate-level science questions | 55.3% (best) | 38.1% | 48.9% |
| OTIS Mock AIME 2024–2025Competition mathematics | 8.5% (best) | 4.3% | 6.3% |
| Price per million tokens | |||
| Input | $2.80 | $0.80 (best) | $2.50 |
| Output | $14.00 | $4.00 (best) | $10.00 |
| Cached input | — | — | $1.25 |
| Blended (3:1) | $5.60 | $1.60 (best) | $4.38 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Median of 3 providers | Official OpenAI API |
| Limits | |||
| Context window | 200,000 tokens (best) | 200,000 tokens (best) | 128,000 tokens |
| Max output | 8,192 tokens | 8,192 tokens | 16,384 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | Yes | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | — | — | gpt-4o |
| API providers | 3 | 4 | 26 (best) |
| Released | Oct 22, 2024 | Oct 22, 2024 | May 13, 2024 |
| Knowledge cutoff | Apr 30, 2024 | Jul 31, 2024 | Sep 2023 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Claude Sonnet 3.5 v2$56.00
Claude Haiku 3.5$16.00
GPT-4o$45.00
Which should you choose?
Which is better: Claude Sonnet 3.5 v2, Claude Haiku 3.5 or GPT-4o?
It is close. Our weighted score puts them within 2 points (Claude Haiku 3.5 46/100, Claude Sonnet 3.5 v2 44/100, GPT-4o 43/100), so choose by what matters most for your work: Claude Sonnet 3.5 v2 for raw capability and Claude Haiku 3.5 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Claude Sonnet 3.5 v2, Claude Haiku 3.5 or GPT-4o?
Claude Haiku 3.5 is cheaper at $0.80 input / $4.00 output per million tokens (median across 3 API providers). GPT-4o costs $2.50 input / $10.00 output per million tokens (official OpenAI API price); Claude Sonnet 3.5 v2 costs $2.80 input / $14.00 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $1.60 per million tokens for Claude Haiku 3.5 versus $4.38 for GPT-4o (2.7× as much) and $5.60 for Claude Sonnet 3.5 v2 (3.5× as much).
Which scores higher on benchmarks?
Claude Sonnet 3.5 v2 scores higher on the Capabilities Index (ECI): Claude Sonnet 3.5 v2 133.4 (#133 of 165), GPT-4o 129.0 (#141 of 165) and Claude Haiku 3.5 127.0 (#147 of 165). The confidence ranges of the top two overlap (128.5–137.7 vs 124.7–131.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — Claude Sonnet 3.5 v2 55.3%, GPT-4o 48.9%, Claude Haiku 3.5 38.1%; OTIS Mock AIME 2024–2025 — Claude Sonnet 3.5 v2 8.5%, GPT-4o 6.3%, Claude Haiku 3.5 4.3%.
Which is better for coding?
There are no published SWE-bench Verified results for Claude Sonnet 3.5 v2, Claude Haiku 3.5 and GPT-4o yet, so there is no like-for-like coding score. On overall capability, Claude Sonnet 3.5 v2 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?
Claude Sonnet 3.5 v2 and Claude Haiku 3.5 have the largest context windows (200,000 and 200,000 tokens), against 128,000 for GPT-4o. Maximum output per response: Claude Sonnet 3.5 v2 up to 8,192, Claude Haiku 3.5 up to 8,192, GPT-4o up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Claude Sonnet 3.5 v2 accepts text, images and PDFs; Claude Haiku 3.5 accepts text, images and PDFs; GPT-4o accepts text, images and PDFs. They handle the same number of input types.
Are any of these open source?
No. Claude Sonnet 3.5 v2, Claude Haiku 3.5 and GPT-4o are proprietary and only available through APIs and apps.
Which is newer?
Claude Sonnet 3.5 v2 is the newest, released Oct 22, 2024. Claude Haiku 3.5 came out Oct 22, 2024; GPT-4o came out May 13, 2024. Knowledge cutoff: Claude Sonnet 3.5 v2 Apr 30, 2024, Claude Haiku 3.5 Jul 31, 2024, GPT-4o Sep 2023.
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 Nov 2, 2026.