Claude Haiku 3.5 vs Llama-3.2-90B-Vision-Instruct vs Mistral Large 2407
Claude Haiku 3.5 comes out ahead, 48 to 44 and 43 on our weighted score, and it is the cheaper option too.
- Our pick
AnthropicClaude Haiku 3.5
48/100- ECI127.0
- Price$0.80 / $4.00
- Context200K
MetaLlama-3.2-90B-Vision-Instruct
44/100- ECI125.5
- Price—
- Context128K
Mistral AIMistral Large 2407
43/100- ECI127.6
- Price$2.00 / $6.00
- Context131K
Claude Haiku 3.5 is our pick
Claude Haiku 3.5 is the better all-round choice, scoring 48/100 against Llama-3.2-90B-Vision-Instruct (44) and Mistral Large 2407 (43). It leads on inputs & features and context window. The score weighs capability 67%, inputs & features 20%, context window 13%.
- CapabilityMistral Large 2407Capabilities Index (ECI): Mistral Large 2407 127.6 · Claude Haiku 3.5 127.0 · Llama-3.2-90B-Vision-Instruct 125.5
- Lowest priceClaude Haiku 3.5Claude Haiku 3.5 $1.60 · Mistral Large 2407 $3.00 per 1M tokens (3:1 blend) · Llama-3.2-90B-Vision-Instruct unpriced
- Longest contextClaude Haiku 3.5Claude Haiku 3.5 200,000 · Mistral Large 2407 131,072 · Llama-3.2-90B-Vision-Instruct 128,000 tokens
- Widest inputsClaude Haiku 3.5Claude Haiku 3.5: Text, Images, PDFs · Llama-3.2-90B-Vision-Instruct: Text, Images · Mistral Large 2407: Text, PDFs
- Self-hostingLlama-3.2-90B-Vision-Instruct and Mistral Large 2407Publishes downloadable weights (Llama 3.2 Community License)
| Measure | Weight | Claude Haiku 3.5 | Llama-3.2-90B-Vision-Instruct | Mistral Large 2407 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 67% | 48 | 46 | 49 |
| Inputs & features | 20% | 60 | 50 | 35 |
| Context window | 13% | 32 | 24 | 25 |
| Overall | 100% | 48/100 | 44/100 | 43/100 |
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 | Claude Haiku 3.5Anthropic | Llama-3.2-90B-Vision-InstructMeta | Mistral Large 2407Mistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 127.0 | 125.5 | 127.6 (best) |
| ECI rank | #147 of 165 | #150 of 165 | #144 of 165 (best) |
| GPQA DiamondGraduate-level science questions | 38.1% | 41.0% | 49.0% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 4.3% | 2.6% | 8.5% (best) |
| Price per million tokens | |||
| Input | $0.80 (best) | — | $2.00 |
| Output | $4.00 (best) | — | $6.00 |
| Cached input | — | — | — |
| Blended (3:1) | $1.60 (best) | — | $3.00 |
| Long-context rate | Same rate | — | Same rate |
| Price source | Median of 3 providers | — | Median of 5 providers |
| Limits | |||
| Context window | 200,000 tokens (best) | 128,000 tokens | 131,072 tokens |
| Max output | 8,192 tokens | 4,096 tokens | 104,857 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | Yes | No | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | OpenLlama 3.2 Community License | Open |
| API model ID | — | — | — |
| API providers | 4 | 1 | 5 (best) |
| Released | Oct 22, 2024 | Sep 25, 2024 | Jul 24, 2024 |
| Knowledge cutoff | Jul 31, 2024 | Dec 2023 | Mar 31, 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Claude Haiku 3.5$16.00
- Llama-3.2-90B-Vision-Instruct—
- Mistral Large 2407$32.00
Which should you choose?
Which is better: Claude Haiku 3.5, Llama-3.2-90B-Vision-Instruct or Mistral Large 2407?
Claude Haiku 3.5 is the better all-round choice, scoring 48/100 against Llama-3.2-90B-Vision-Instruct (44) and Mistral Large 2407 (43). It leads on inputs & features and context window. The score weighs capability 67%, inputs & features 20%, context window 13%.
Which is cheaper, Claude Haiku 3.5, Llama-3.2-90B-Vision-Instruct or Mistral Large 2407?
Claude Haiku 3.5 is cheaper at $0.80 input / $4.00 output per million tokens (median across 3 API providers). Mistral Large 2407 costs $2.00 input / $6.00 output per million tokens (median across 5 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 $3.00 for Mistral Large 2407 (1.9× as much). Llama-3.2-90B-Vision-Instruct has no published per-token price.
Which scores higher on benchmarks?
Mistral Large 2407 scores higher on the Capabilities Index (ECI): Mistral Large 2407 127.6 (#144 of 165), Claude Haiku 3.5 127.0 (#147 of 165) and Llama-3.2-90B-Vision-Instruct 125.5 (#150 of 165). The confidence ranges of the top two overlap (123.3–129.4 vs 121.4–129.2), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Large 2407 49.0%, Llama-3.2-90B-Vision-Instruct 41.0%, Claude Haiku 3.5 38.1%; OTIS Mock AIME 2024–2025 — Mistral Large 2407 8.5%, Claude Haiku 3.5 4.3%, Llama-3.2-90B-Vision-Instruct 2.6%.
Which is better for coding?
There are no published SWE-bench Verified results for Claude Haiku 3.5, Llama-3.2-90B-Vision-Instruct and Mistral Large 2407 yet, so there is no like-for-like coding score. On overall capability, Mistral Large 2407 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 Haiku 3.5 has the largest context window at 200,000 tokens, against 131,072 for Mistral Large 2407 and 128,000 for Llama-3.2-90B-Vision-Instruct. Maximum output per response: Claude Haiku 3.5 up to 8,192, Llama-3.2-90B-Vision-Instruct up to 4,096, Mistral Large 2407 up to 104,857 tokens.
Which can read images, PDFs, audio or video?
Claude Haiku 3.5 accepts text, images and PDFs; Llama-3.2-90B-Vision-Instruct accepts text and images; Mistral Large 2407 accepts text and PDFs. Claude Haiku 3.5 handles the widest range of inputs.
Are any of these open source?
Llama-3.2-90B-Vision-Instruct and Mistral Large 2407 publishes its weights (Llama 3.2 Community License) and can be self-hosted; Claude Haiku 3.5 is proprietary.
Which is newer?
Claude Haiku 3.5 is the newest, released Oct 22, 2024. Llama-3.2-90B-Vision-Instruct came out Sep 25, 2024; Mistral Large 2407 came out Jul 24, 2024. Knowledge cutoff: Claude Haiku 3.5 Jul 31, 2024, Llama-3.2-90B-Vision-Instruct Dec 2023, Mistral Large 2407 Mar 31, 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
- Claude Haiku 3.5 vs Mistral Large 2.1Mistral AI · ECI 128.6
- Claude Haiku 3.5 vs Llama-3.3-70B-InstructMeta · ECI 127.3
- Claude Haiku 3.5 vs GPT-4oOpenAI · ECI 129.0
- Claude Haiku 3.5 vs Gemma 2 27BGoogle · ECI 122.1
- Llama-3.2-90B-Vision-Instruct vs GPT-4o miniOpenAI · ECI 126.5
- Llama-3.2-90B-Vision-Instruct vs Gemma 2 27BGoogle · ECI 122.1
