GPT-4o vs Mistral Large 2407 vs Claude Sonnet 3.5 v2
Too close to call on our weighted score (Claude Sonnet 3.5 v2 44, GPT-4o 43, Mistral Large 2407 39). The right pick depends on what you value most.
OpenAIGPT-4o
43/100- ECI129.0
- Price$2.50 / $10.00
- Context128K
Mistral AIMistral Large 2407
39/100- ECI127.6
- Price$2.00 / $6.00
- Context131K
AnthropicClaude Sonnet 3.5 v2
44/100- ECI133.4
- Price$2.80 / $14.00
- Context200K
Too close to call
It is close. Our weighted score puts them within a point (Claude Sonnet 3.5 v2 44/100, GPT-4o 43/100, Mistral Large 2407 39/100), so choose by what matters most for your work: Claude Sonnet 3.5 v2 for raw capability and Mistral Large 2407 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 · Mistral Large 2407 127.6
- Lowest priceMistral Large 2407Mistral Large 2407 $3.00 · GPT-4o $4.38 · Claude Sonnet 3.5 v2 $5.60 per 1M tokens (3:1 blend)
- Longest contextClaude Sonnet 3.5 v2Claude Sonnet 3.5 v2 200,000 · Mistral Large 2407 131,072 · GPT-4o 128,000 tokens
- Widest inputsGPT-4o and Claude Sonnet 3.5 v2GPT-4o: Text, Images, PDFs · Mistral Large 2407: Text, PDFs · Claude Sonnet 3.5 v2: Text, Images, PDFs
- Self-hostingMistral Large 2407Publishes downloadable weights
| Measure | Weight | GPT-4o | Mistral Large 2407 | Claude Sonnet 3.5 v2 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 51 | 49 | 56 |
| Price | 25% | 19 | 26 | 14 |
| Inputs & features | 15% | 70 | 35 | 60 |
| Context window | 10% | 24 | 25 | 32 |
| Overall | 100% | 43/100 | 39/100 | 44/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GPT-4oOpenAI | Mistral Large 2407Mistral AI | Claude Sonnet 3.5 v2Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 129.0 | 127.6 | 133.4 (best) |
| ECI rank | #141 of 165 | #144 of 165 | #133 of 165 (best) |
| GPQA DiamondGraduate-level science questions | 48.9% | 49.0% | 55.3% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 6.3% | 8.5% (best) | 8.5% (best) |
| Price per million tokens | |||
| Input | $2.50 | $2.00 (best) | $2.80 |
| Output | $10.00 | $6.00 (best) | $14.00 |
| Cached input | $1.25 | — | — |
| Blended (3:1) | $4.38 | $3.00 (best) | $5.60 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official OpenAI API | Median of 5 providers | Median of 2 providers |
| Limits | |||
| Context window | 128,000 tokens | 131,072 tokens | 200,000 tokens (best) |
| Max output | 16,384 tokens | 104,857 tokens (best) | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | Yes | Yes | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | gpt-4o | — | — |
| API providers | 26 (best) | 5 | 3 |
| Released | May 13, 2024 | Jul 24, 2024 | Oct 22, 2024 |
| Knowledge cutoff | Sep 2023 | Mar 31, 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.
- GPT-4o$45.00
- Mistral Large 2407$32.00
- Claude Sonnet 3.5 v2$56.00
Which should you choose?
Which is better: GPT-4o, Mistral Large 2407 or Claude Sonnet 3.5 v2?
It is close. Our weighted score puts them within a point (Claude Sonnet 3.5 v2 44/100, GPT-4o 43/100, Mistral Large 2407 39/100), so choose by what matters most for your work: Claude Sonnet 3.5 v2 for raw capability and Mistral Large 2407 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-4o, Mistral Large 2407 or Claude Sonnet 3.5 v2?
Mistral Large 2407 is cheaper at $2.00 input / $6.00 output per million tokens (median across 5 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 $3.00 per million tokens for Mistral Large 2407 versus $4.38 for GPT-4o (1.5× as much) and $5.60 for Claude Sonnet 3.5 v2 (1.9× 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 Mistral Large 2407 127.6 (#144 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%, Mistral Large 2407 49.0%, GPT-4o 48.9%; OTIS Mock AIME 2024–2025 — Mistral Large 2407 8.5%, Claude Sonnet 3.5 v2 8.5%, GPT-4o 6.3%.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-4o, Mistral Large 2407 and Claude Sonnet 3.5 v2 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 has the largest context window at 200,000 tokens, against 131,072 for Mistral Large 2407 and 128,000 for GPT-4o. Maximum output per response: GPT-4o up to 16,384, Mistral Large 2407 up to 104,857, Claude Sonnet 3.5 v2 up to 8,192 tokens.
Which can read images, PDFs, audio or video?
GPT-4o accepts text, images and PDFs; Mistral Large 2407 accepts text and PDFs; Claude Sonnet 3.5 v2 accepts text, images and PDFs. GPT-4o handles the widest range of inputs.
Are any of these open source?
Mistral Large 2407 publishes its weights and can be self-hosted; GPT-4o and Claude Sonnet 3.5 v2 is proprietary.
Which is newer?
Claude Sonnet 3.5 v2 is the newest, released Oct 22, 2024. Mistral Large 2407 came out Jul 24, 2024; GPT-4o came out May 13, 2024. Knowledge cutoff: GPT-4o Sep 2023, Mistral Large 2407 Mar 31, 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 Nov 2, 2026.
Related comparisons
- GPT-4o vs Llama-3.2-90B-Vision-InstructMeta · ECI 125.5
- GPT-4o vs Command R+Cohere
- Mistral Large 2407 vs Claude Haiku 3.5Anthropic · ECI 127.0
- Mistral Large 2407 vs Llama-3.1-70B-InstructMeta · ECI 125.9
- Mistral Large 2407 vs Gemma 2 27BGoogle · ECI 122.1
- Claude Sonnet 3.5 v2 vs Mistral Large 2.1Mistral AI · ECI 128.6
