Claude Haiku 4.5 vs Mistral Medium 3.5 vs Qwen3 Max
Claude Haiku 4.5 comes out ahead, 58 to 55 and 50 on our weighted score, and it is the cheaper option too.
- Our pick
Anthropic
Claude Haiku 4.5
58/100- ECI142.4
- Price$1.00 / $5.00
- Context200K
Mistral AI
Mistral Medium 3.5
55/100- ECI141.4
- Price$1.50 / $7.50
- Context262K
Alibaba (Qwen)
Qwen3 Max
50/100- ECI142.4
- Price$1.20 / $6.00
- Context262K
Claude Haiku 4.5 is our pick
Claude Haiku 4.5 is the better all-round choice, scoring 58/100 against Mistral Medium 3.5 (55) and Qwen3 Max (50). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityClaude Haiku 4.5Capabilities Index (ECI): Claude Haiku 4.5 142.4 · Qwen3 Max 142.4 · Mistral Medium 3.5 141.4
- Lowest priceClaude Haiku 4.5Claude Haiku 4.5 $2.00 · Qwen3 Max $2.40 · Mistral Medium 3.5 $3.00 per 1M tokens (3:1 blend)
- Longest contextMistral Medium 3.5 and Qwen3 MaxMistral Medium 3.5 262,144 · Qwen3 Max 262,144 · Claude Haiku 4.5 200,000 tokens
- Widest inputsClaude Haiku 4.5Claude Haiku 4.5: Text, Images, PDFs · Mistral Medium 3.5: Text, Images · Qwen3 Max: Text
- Self-hostingMistral Medium 3.5Publishes downloadable weights
| Measure | Weight | Claude Haiku 4.5 | Mistral Medium 3.5 | Qwen3 Max |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 69 | 67 | 68 |
| Price | 25% | 36 | 27 | 32 |
| Inputs & features | 15% | 80 | 70 | 25 |
| Context window | 10% | 32 | 37 | 37 |
| Overall | 100% | 58/100 | 55/100 | 50/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 142.4 (best) | 141.4 | 142.4 |
| ECI rank | #90 of 148 (best) | #95 of 148 | #91 of 148 |
| GPQA DiamondGraduate-level science questions | 71.2% | — | 72.6% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | — | — | 19.0% |
| OTIS Mock AIME 2024–2025Competition mathematics | 66.7% | — | 73.3% (best) |
| SimpleQA VerifiedShort factual questions | 13.2% | — | 48.8% (best) |
| Price per million tokens | |||
| Input | $1.00 (best) | $1.50 | $1.20 |
| Output | $5.00 (best) | $7.50 | $6.00 |
| Cached input | $0.10 (best) | $0.15 | — |
| Blended (3:1) | $2.00 (best) | $3.00 | $2.40 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Anthropic API | Official Mistral API | Official Alibaba API |
| Limits | |||
| Context window | 200,000 tokens | 262,144 tokens (best) | 262,144 tokens (best) |
| Max output | 64,000 tokens | 262,144 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yeshigh | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | claude-haiku-4-5 | mistral-medium-2604 | qwen3-max |
| API providers | 34 (best) | 12 | 16 |
| Released | Oct 15, 2025 | Apr 29, 2026 | Sep 23, 2025 |
| Knowledge cutoff | Feb 28, 2025 | — | Apr 2025 |
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 4.5$20.00
Mistral Medium 3.5$30.00
Qwen3 Max$24.00
Which should you choose?
Which is better: Claude Haiku 4.5, Mistral Medium 3.5 or Qwen3 Max?
Claude Haiku 4.5 is the better all-round choice, scoring 58/100 against Mistral Medium 3.5 (55) and Qwen3 Max (50). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Claude Haiku 4.5, Mistral Medium 3.5 or Qwen3 Max?
Claude Haiku 4.5 is cheaper at $1.00 input / $5.00 output per million tokens (official Anthropic API price). Qwen3 Max costs $1.20 input / $6.00 output per million tokens (official Alibaba API price); Mistral Medium 3.5 costs $1.50 input / $7.50 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $2.00 per million tokens for Claude Haiku 4.5 versus $2.40 for Qwen3 Max (1.2× as much) and $3.00 for Mistral Medium 3.5 (1.5× as much).
Which scores higher on benchmarks?
Claude Haiku 4.5 scores higher on the Capabilities Index (ECI): Claude Haiku 4.5 142.4 (#90 of 148), Qwen3 Max 142.4 (#91 of 148) and Mistral Medium 3.5 141.4 (#95 of 148). The confidence ranges of the top two overlap (139.5–144.3 vs 140.0–144.6), so treat the gap as small.
Which is better for coding?
There are no published SWE-bench Verified results for Claude Haiku 4.5, Mistral Medium 3.5 and Qwen3 Max yet, so there is no like-for-like coding score. On overall capability, Claude Haiku 4.5 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?
Mistral Medium 3.5 and Qwen3 Max have the largest context windows (262,144 and 262,144 tokens), against 200,000 for Claude Haiku 4.5. Maximum output per response: Claude Haiku 4.5 up to 64,000, Mistral Medium 3.5 up to 262,144, Qwen3 Max up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Claude Haiku 4.5 accepts text, images and PDFs; Mistral Medium 3.5 accepts text and images; Qwen3 Max accepts text. Claude Haiku 4.5 handles the widest range of inputs.
Are any of these open source?
Mistral Medium 3.5 publishes its weights and can be self-hosted; Claude Haiku 4.5 and Qwen3 Max is proprietary.
Which is newer?
Mistral Medium 3.5 is the newest, released Apr 29, 2026. Claude Haiku 4.5 came out Oct 15, 2025; Qwen3 Max came out Sep 23, 2025. Knowledge cutoff: Claude Haiku 4.5 Feb 28, 2025, Qwen3 Max Apr 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.